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STEP FUNCTION

  • Step function
  • Linear combination of indicator functions of real intervals

    mathematics, a function on the real numbers is called a step function if it can be written as a finite linear combination of indicator functions of intervals

    Step function

    Step function

    Step_function

  • Heaviside step function
  • Indicator function of positive numbers

    The Heaviside step function, or the unit step function, usually denoted by H or θ (but sometimes u, 1 or 𝟙), is a step function named after Oliver Heaviside

    Heaviside step function

    Heaviside step function

    Heaviside_step_function

  • Sigmoid function
  • Mathematical function having a characteristic S-shaped curve or sigmoid curve

    There is also the Heaviside step function, which instantaneously transitions between 0 and 1. A wide variety of sigmoid functions including the logistic and

    Sigmoid function

    Sigmoid function

    Sigmoid_function

  • Indicator function
  • Mathematical function characterizing set membership

    In mathematics, an indicator function or a characteristic function of a subset of a set is a function that maps elements of the subset to one, and all

    Indicator function

    Indicator function

    Indicator_function

  • List of Laplace transforms
  • {\displaystyle f(t-a)u(t-a)} , where u {\displaystyle u} is the Heaviside step function, is e − a s F ( s ) {\displaystyle e^{-as}F(s)} . The Laplace transform

    List of Laplace transforms

    List_of_Laplace_transforms

  • Step response
  • Time behavior of a system controlled by Heaviside step functions

    step response of a system in a given initial state consists of the time evolution of its outputs when its control inputs are Heaviside step functions

    Step response

    Step response

    Step_response

  • Sign function
  • Function returning minus 1, zero or plus 1

    value Heaviside step function Negative number Rectangular function Sigmoid function (Hard sigmoid) Step function (Piecewise constant function) Three-way comparison

    Sign function

    Sign function

    Sign_function

  • Multilayer perceptron
  • Type of feedforward neural network

    data. A perceptron traditionally used a Heaviside step function as its nonlinear activation function. However, the backpropagation algorithm requires that

    Multilayer perceptron

    Multilayer_perceptron

  • Activation function
  • Artificial neural network node function

    activation functions, whose output range is confined to a finite interval. The function looks like ϕ(𝐯)=U(a+𝐯′𝐛), where U is the Heaviside step function. If

    Activation function

    Activation function

    Activation_function

  • Step
  • Topics referred to by the same term

    Look up step, STEP, štep, stęp, step-, or steps in Wiktionary, the free dictionary. Step(s) or STEP may refer to: Steps, making a staircase Walking Dance

    Step

    Step

  • Step potential
  • System in quantum mechanics

    equation for a particle with a step-like potential in one dimension. Typically, the potential is modeled as a Heaviside step function. The time-independent Schrödinger

    Step potential

    Step_potential

  • Gibbs phenomenon
  • Oscillatory error in Fourier series

    of a continuous function f c {\textstyle f_{c}} and a multi-step function f s {\textstyle f_{s}} which is the sum of step functions such as f = f c +

    Gibbs phenomenon

    Gibbs_phenomenon

  • Empirical distribution function
  • Distribution function associated with the empirical measure of a sample

    empirical measure of a sample. This cumulative distribution function is a step function that jumps up by 1/n at each of the n data points. Its value

    Empirical distribution function

    Empirical distribution function

    Empirical_distribution_function

  • Artificial neuron
  • Mathematical function conceived as a crude model

    they may also take the form of other nonlinear functions, piecewise linear functions, or step functions. They are also often monotonically increasing,

    Artificial neuron

    Artificial neuron

    Artificial_neuron

  • List of mathematical functions
  • belongs to some subset. Step function: A finite linear combination of indicator functions of half-open intervals. Heaviside step function: 0 for negative arguments

    List of mathematical functions

    List_of_mathematical_functions

  • Boxcar function
  • Mathematical function resembling a boxcar

    low-pass filter. Boxcar averager Rectangular function Step function Top-hat filter Weisstein, Eric W. "Boxcar function". MathWorld. Retrieved 13 September 2013

    Boxcar function

    Boxcar function

    Boxcar_function

  • Riemann–Stieltjes integral
  • Generalization of the Riemann integral

    related to the Riemann integral by ∫abf(x)dg(x)=∫abf(x)g′(x)dx For a step function g(x)={0if x≤s1if x>s where a<s<b, if f is continuous at s, then ∫abf(x)dg(x)=f(s)

    Riemann–Stieltjes integral

    Riemann–Stieltjes_integral

  • Time constant
  • Characteristic time in a system

    explore the time response is through the step response to a step input, or the impulse response to a Dirac delta function input. In the frequency domain (for

    Time constant

    Time_constant

  • Ramp function
  • Piecewise function that clamps its input to be non-negative

    Heaviside step function with itself: R ( x ) := H ( x ) ∗ H ( x ) {\displaystyle R\left(x\right):=H(x)*H(x)} The integral of the Heaviside step function: R (

    Ramp function

    Ramp function

    Ramp_function

  • Laplace transform
  • Integral transform useful in probability theory, physics, and engineering

    transform that converts a function of a real variable (usually ⁠ t {\displaystyle t} ⁠, in the time domain) to a function of a complex variable s {\displaystyle

    Laplace transform

    Laplace_transform

  • Simple function
  • Function that attains finitely many values

    analysis, a simple function is a real (or complex)-valued function over a subset of the real line, similar to a step function. Simple functions are sufficiently

    Simple function

    Simple_function

  • Dirac delta function
  • Generalized function whose value is zero everywhere except at zero

    Dirac delta function (or δ {\displaystyle {\boldsymbol {\delta }}} distribution), also known as the unit impulse, is a generalized function on the real

    Dirac delta function

    Dirac delta function

    Dirac_delta_function

  • Green's function
  • Method of solution to differential equations

    In mathematics, a Green's function (or Green function) is the impulse response of an inhomogeneous linear differential operator defined on a domain with

    Green's function

    Green's function

    Green's_function

  • Bang–bang control
  • Binary feedback controller

    common residential thermostats are bang–bang controllers. The Heaviside step function in its discrete form is an example of a bang–bang control signal. Due

    Bang–bang control

    Bang–bang control

    Bang–bang_control

  • Function approximation
  • Approximating an arbitrary function with a well-behaved one

    In general, a function approximation problem asks us to select a function that closely matches ("approximates") a function in a task-specific way.[better source needed]

    Function approximation

    Function approximation

    Function_approximation

  • Piecewise linear function
  • Type of mathematical function

    Sawtooth function Floor function Step function, a function composed of constant sub-functions, so also called a piecewise constant function Boxcar function, Heaviside

    Piecewise linear function

    Piecewise_linear_function

  • Numerical integration
  • Methods of calculating definite integrals

    variation. This simplest method approximates the function by a step function (a piecewise constant function, or a segmented polynomial of degree zero) that

    Numerical integration

    Numerical integration

    Numerical_integration

  • Product integral
  • Integral using products instead of sums

    functions generalize step functions, in what follows we will only consider the special case of simple functions that are step functions. This will also make

    Product integral

    Product_integral

  • Regulated integral
  • Definition of integral for regulated functions

    definition of integration for regulated functions, which are defined to be uniform limits of step functions. The use of the regulated integral instead

    Regulated integral

    Regulated_integral

  • Rectified linear unit
  • Type of activation function

    linear unit) activation function is an activation function defined as the non-negative part of its argument, i.e., the ramp function: ReLU⁡(x)=x+=max⁡(0,x)=x+|x|2={xif x>0

    Rectified linear unit

    Rectified linear unit

    Rectified_linear_unit

  • Logistic function
  • S-shaped curve

    scaling) is a smooth approximation of the Heaviside step function. The standard logistic function is analytic on the whole real line since f : R → R {\displaystyle

    Logistic function

    Logistic function

    Logistic_function

  • Overshoot (signal)
  • When a signal or function exceeds its target

    a signal or function exceeding its target. Undershoot is the same phenomenon in the opposite direction. It arises especially in the step response of bandlimited

    Overshoot (signal)

    Overshoot (signal)

    Overshoot_(signal)

  • Traffic flow
  • Study of interactions between travellers and infrastructure

    as smooth functions. Theoretically, however, plotting N-curves from collected data should result in a step-function (figure 10). Each step represents

    Traffic flow

    Traffic_flow

  • Theta
  • Eighth letter of the Greek alphabet

    in economic models The ordinal collapsing function developed by Solomon Feferman The Heaviside step function In pharmacology, the fraction of ligand bound

    Theta

    Theta

  • Hard sigmoid
  • important than precision. The most extreme examples are the sign function or Heaviside step function, which go from −1 to 1 or 0 to 1 (which to use depends on

    Hard sigmoid

    Hard_sigmoid

  • Square wave (waveform)
  • Type of non-sinusoidal waveform

    wave can also be defined with respect to the Heaviside step function u(t) or the rectangular function Π(t): x ( t ) = 2 [ ∑ n = − ∞ ∞ Π ( 2 ( t − n T ) T

    Square wave (waveform)

    Square wave (waveform)

    Square_wave_(waveform)

  • Derivative
  • Instantaneous rate of change (mathematics)

    step function that returns the value 1 for all x less than ⁠a⁠, and returns a different value 10 for all x greater than or equal to ⁠a⁠. The function

    Derivative

    Derivative

    Derivative

  • Piecewise function
  • Function defined by multiple sub-functions

    mathematics, a piecewise function (also called a piecewise-defined function, a hybrid function, or a function defined by cases) is a function whose domain is partitioned

    Piecewise function

    Piecewise function

    Piecewise_function

  • Cottrell equation
  • Equation in electrochemistry

    Specifically it describes the current response when the potential is a step function in time. It was derived by Frederick Gardner Cottrell in 1903. For a

    Cottrell equation

    Cottrell equation

    Cottrell_equation

  • Daniell integral
  • Type of integration

    all step functions evidently satisfies the above axioms for elementary functions. Defining the elementary integral of the family of step functions as the

    Daniell integral

    Daniell_integral

  • Pascal's triangle
  • Triangular array of the binomial coefficients

    transform, and if n is odd, take the imaginary part. Then the result is a step function, whose values (suitably normalized) are given by the nth row of the

    Pascal's triangle

    Pascal's_triangle

  • Rise time
  • Time taken by a signal to change to a high value

    In electronics, when describing a voltage or current step function, rise time is the time taken by a signal to change from a specified low value to a

    Rise time

    Rise_time

  • Spline (mathematics)
  • Mathematical function defined piecewise by polynomials

    calculations were done by hand. Although piecewise-defined functions like the sign function or step function were used, polynomials were generally preferred because

    Spline (mathematics)

    Spline (mathematics)

    Spline_(mathematics)

  • Singularity function
  • Class of discontinuous functions

    δ(x) is also called the unit doublet. The function H ( x ) {\displaystyle H(x)} is the Heaviside step function: H(x) = 0 for x < 0 and H(x) = 1 for x >

    Singularity function

    Singularity_function

  • Z-transform
  • Linear transform from the time domain to the frequency domain

    impulse function (cf. Dirac delta function, which is a continuous-time version). The two functions are chosen together so that the unit step function is the

    Z-transform

    Z-transform

  • Rectangular function
  • Function whose graph is 0, then 1, then 0 again, in an almost-everywhere continuous way

    The rectangular function (also known as the rectangle function, rect function, Pi function, Heaviside Pi function, gate function, unit pulse, or the normalized

    Rectangular function

    Rectangular function

    Rectangular_function

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    linearly separable patterns. For a classification task with some step activation function, a single node will have a single line dividing the data points

    Perceptron

    Perceptron

  • Regulated function
  • supremum norm || - ||∞). For this equivalence to hold, the definition of "step function" must be the one that allows degenerate intervals (i.e., singletons)

    Regulated function

    Regulated_function

  • Ringing artifacts
  • Form of error in digital signals; spurious signals near sharp transitions

    height (and integral 1 – a Dirac delta function), and thus cannot be overshot. Turning to step response, the step response is the integral of the impulse

    Ringing artifacts

    Ringing artifacts

    Ringing_artifacts

  • Video capture
  • Process of recording and processing incoming video signals

    and other components with the capture card solution. The next major step function in video capture card technology occurred around 2012-2013 quite a few

    Video capture

    Video_capture

  • Floor and ceiling functions
  • Nearest integers from a number

    Floor and ceiling functions In mathematics, the floor function is the function that takes a real number x as input and returns the greatest integer less

    Floor and ceiling functions

    Floor and ceiling functions

    Floor_and_ceiling_functions

  • Fourier transform
  • Mathematical transform that expresses a function of time as a function of frequency

    takes a function as input and outputs another function that describes the extent to which various frequencies are present in the original function. The output

    Fourier transform

    Fourier transform

    Fourier_transform

  • Transfer function
  • Function specifying the behavior of a component in an electronic or control system

    a transfer function (also known as system function or network function) of a system, sub-system, or component is a mathematical function that models

    Transfer function

    Transfer_function

  • RL circuit
  • Resistive and inductive circuit

    {1}{\tau }}e^{-{\frac {t}{\tau }}}u(t)\,,} where u(t) is the Heaviside step function and τ = ⁠L/R⁠ is the time constant. Similarly, the impulse response

    RL circuit

    RL_circuit

  • Gaussian filter
  • Filter in electronics and signal processing

    response). Gaussian filters have the properties of having no overshoot to a step function input while minimizing the rise and fall time. This behavior is closely

    Gaussian filter

    Gaussian filter

    Gaussian_filter

  • Error function
  • Sigmoid shape special function

    functions occur, for example, in solutions of the heat equation when boundary conditions are given by the Heaviside step function. The error function

    Error function

    Error function

    Error_function

  • Smoothstep
  • Family of interpolation and clamping functions

    return x; } Our original smoothstep function can be rewritten as follows, in terms of the Heaviside step function: S 1 ( x ) = H ( x ) ( 3 x 2 − 2 x 3

    Smoothstep

    Smoothstep

    Smoothstep

  • Graphon
  • Function type in graph theory

    adjacency matrix A G {\displaystyle A_{G}} . This matrix corresponds to a step function W G : [ 0 , 1 ] 2 → [ 0 , 1 ] {\displaystyle W_{G}:[0,1]^{2}\to [0,1]}

    Graphon

    Graphon

    Graphon

  • Loss functions for classification
  • Concept in machine learning

    V(f(x→),y)=H(−yf(x→)) where H indicates the Heaviside step function. However, this loss function is non-convex and non-smooth, and solving for the optimal

    Loss functions for classification

    Loss functions for classification

    Loss_functions_for_classification

  • Analog signal processing
  • Signal processing conducted on analog signals

    frequencies are represented in the input A unit step function, also called the Heaviside step function, is a signal that has a magnitude of zero before

    Analog signal processing

    Analog_signal_processing

  • LSH (hash function)
  • Cryptographic hash function

    {\textsf {CV}}^{(i)}} . The j {\displaystyle j} -th step function Step j {\displaystyle {\textrm {Step}}_{j}} having two inputs T {\displaystyle {\textsf

    LSH (hash function)

    LSH_(hash_function)

  • Pulse (signal processing)
  • Quick, temporary change in amplitude of electrical signals

    shape of the Dirac delta function. It has the properties of infinite amplitude and its integral is the Heaviside step function. Equivalently, it has zero

    Pulse (signal processing)

    Pulse (signal processing)

    Pulse_(signal_processing)

  • Softplus
  • Smoothed ramp function

    The logistic function or the sigmoid function is a smooth approximation of the rectifier, the Heaviside step function. The multivariable generalization of

    Softplus

    Softplus

    Softplus

  • Continuous linear extension
  • Mathematical method in functional analysis

    definition of the Riemann integral. A step function on a closed interval [ a , b ] {\displaystyle [a,b]} is a function of the form: f ≡ r 1 1 [ a , x 1 )

    Continuous linear extension

    Continuous_linear_extension

  • Step change (disambiguation)
  • Topics referred to by the same term

    in step on a step function a positional change from a stepper motor paradigm shift or step change; a dramatic change in circumstances StepChange, a British

    Step change (disambiguation)

    Step_change_(disambiguation)

  • Laplace–Carson transform
  • Variant of the Laplace integral transform

    function by the complex variable p {\displaystyle p} . This modification can simplify the analysis of certain functions, particularly the unit step function

    Laplace–Carson transform

    Laplace–Carson_transform

  • Black–Scholes equation
  • Partial differential equation in mathematical finance

    0\}}-1)=K\left(e^{x}-1\right)H(x),} where H(x) is the Heaviside step function. The Heaviside function corresponds to enforcement of the boundary data in the S

    Black–Scholes equation

    Black–Scholes equation

    Black–Scholes_equation

  • Continuous uniform distribution
  • Uniform distribution on an interval

    uniform distribution may also be expressed in terms of the Heaviside step function as: f ( x ) = H ⁡ ( x − a ) − H ⁡ ( x − b ) b − a , {\displaystyle f(x)={\frac

    Continuous uniform distribution

    Continuous uniform distribution

    Continuous_uniform_distribution

  • Infinite impulse response
  • Property of many linear time-invariant (LTI) systems

    {\displaystyle h(n)=a^{n}u(n)} where u ( n ) {\displaystyle u(n)} is the unit step function. It can be seen that h ( n ) {\displaystyle h(n)} is non-zero for all

    Infinite impulse response

    Infinite_impulse_response

  • Expectation–maximization algorithm
  • Iterative method for finding maximum likelihood estimates in statistical models

    iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the

    Expectation–maximization algorithm

    Expectation–maximization algorithm

    Expectation–maximization_algorithm

  • Support (mathematics)
  • Inputs for which a function's value is non-zero

    smooth function. For example, the Fourier transform of the Heaviside step function can, up to constant factors, be considered to be 1/x (a function) except

    Support (mathematics)

    Support_(mathematics)

  • Twelve-step program
  • Organizations for recovery from addiction

    Twelve-step programs are mutual aid programs supporting recovery from substance addictions, behavioral addictions and compulsions. Developed in the 1930s

    Twelve-step program

    Twelve-step_program

  • Delta rule
  • Gradient descent learning rule in machine learning

    derivation is different. The perceptron uses the Heaviside step function as the activation function g ( h ) {\displaystyle g(h)} , and that means that g ′

    Delta rule

    Delta_rule

  • Distribution (number theory)
  • system X. A function f on X is "locally constant", or a "step function" if it factors through some Xn. We can define an integral of a step function against

    Distribution (number theory)

    Distribution_(number_theory)

  • Unsupervised learning
  • Paradigm in machine learning that uses no classification labels

    inverted cumulative distribution function, which in this case is the step function thresholded at 2/3. The inverse function = { 0 if x <= 2/3, 1 if x > 2/3

    Unsupervised learning

    Unsupervised_learning

  • H (disambiguation)
  • Topics referred to by the same term

    numbers H, the Heaviside step function h, impulse response in LTI system theory H, system function, system response, or transfer function in LTI system theory

    H (disambiguation)

    H_(disambiguation)

  • Fluorescence recovery after photobleaching
  • Experimental technique in cell biology

    diffusion coefficient. Note that this is for an instantaneous bleach with a step function profile, i.e., the fraction f b {\displaystyle f_{b}} of protein assumed

    Fluorescence recovery after photobleaching

    Fluorescence recovery after photobleaching

    Fluorescence_recovery_after_photobleaching

  • Continuous function
  • Mathematical function with no sudden changes

    thus the sinc function is continuous function on all real numbers. An example of a discontinuous function is the Heaviside step function H {\displaystyle

    Continuous function

    Continuous_function

  • Propagator
  • Function in quantum field theory showing probability amplitudes of moving particles

    denotes the Hamiltonian, δ(x) denotes the Dirac delta-function and Θ(t) is the Heaviside step function. The kernel of the above Schrödinger differential operator

    Propagator

    Propagator

    Propagator

  • Paramorphism
  • factorial function. Its categorical dual is the apomorphism. It is a more convenient version of catamorphism in that it gives the combining step function immediate

    Paramorphism

    Paramorphism

  • Low-pass filter
  • Type of signal filter

    τ = RC. If we let v in ( t ) {\displaystyle v_{\text{in}}(t)} be a step function of magnitude V i , {\displaystyle V_{\text{i}},} then the differential

    Low-pass filter

    Low-pass_filter

  • Kronecker delta
  • Mathematical function of two variables; outputs 1 if they are equal, 0 otherwise

    Dirac measure Heaviside step function Indicator function Levi-Civita symbol Minkowski metric 't Hooft symbol Unit function XNOR gate Nakahara, Mikio

    Kronecker delta

    Kronecker_delta

  • Chebyshev polynomials
  • Pair of polynomial sequences

    and sine functions, denoted as Tn(x) and Un(x). They can be defined in several equivalent ways, one of which starts with trigonometric functions: The Chebyshev

    Chebyshev polynomials

    Chebyshev polynomials

    Chebyshev_polynomials

  • Expectile
  • -H(t-X)|],\end{aligned}}} where H {\displaystyle H} is the Heaviside step function; analogously, expectile regression minimizes an asymmetric L 2 {\displaystyle

    Expectile

    Expectile

  • Correlation integral
  • threshold distance, ‖⋅‖ a norm (e.g. Euclidean norm) and Θ(⋅) the Heaviside step function. If only a time series is available, the phase space can be reconstructed

    Correlation integral

    Correlation_integral

  • Predictor–corrector method
  • Algorithms in numerical analysis

    an unknown function that satisfies a given differential equation. All such algorithms proceed in two steps: The initial, "prediction" step, starts from

    Predictor–corrector method

    Predictor–corrector_method

  • Measurable function
  • Kind of mathematical function

    measurable. Continuous functions, monotone functions, step functions, semicontinuous functions, Riemann-integrable functions, and functions of bounded variation

    Measurable function

    Measurable_function

  • Scoring rule
  • Measure for evaluating probabilistic forecasts

    In decision theory, both a scoring rule as well as a scoring function provide an ex post summary measure for the evaluation of the quality of a prediction

    Scoring rule

    Scoring rule

    Scoring_rule

  • Zeta function regularization
  • Summability method in physics

    In mathematics and theoretical physics, zeta function regularization is a type of regularization or summability method that assigns finite values to divergent

    Zeta function regularization

    Zeta_function_regularization

  • Universal approximation theorem
  • Property of artificial neural networks

    certain non-continuous activation functions such as the step function can be approximated by continuous activation functions, which then allows the approximation

    Universal approximation theorem

    Universal_approximation_theorem

  • Trust region
  • Term in mathematical optimization

    step. The trick is to change the trust-region size (λ). At each iteration, the damped quadratic fit predicts a certain reduction in the cost function

    Trust region

    Trust_region

  • Laplacian of the indicator
  • Limit of sequence of smooth functions

    indicator is also analogous to the second derivative of the Heaviside step function in one dimension. The Laplacian of the indicator can be thought of as

    Laplacian of the indicator

    Laplacian_of_the_indicator

  • Proprioception
  • Sense of self-orientation

    sinusoidal and step function stretches, and fit a transfer function to the spike rate. They found that the following Laplace transfer function describes the

    Proprioception

    Proprioception

    Proprioception

  • Tangerine Microtan 65
  • Single board microcomputer

    tape I/O as the Microtan 65. The Microtan 65 has a hardware single step function that can be used for debugging software in both ROM and RAM. The computer

    Tangerine Microtan 65

    Tangerine Microtan 65

    Tangerine_Microtan_65

  • Simatic
  • Series of programmable logic controllers

    context-dependent), for example. REW: "Rewiring" function: search and replace an operand with another operand in all blocks of a STEP 5 project. EPROM / EEPROM It allows

    Simatic

    Simatic

  • P–n diode
  • Semiconductor diode based upon the p–n junction

    considered. By "abrupt", it is meant that the p- and n-type doping exhibit a step function discontinuity at the plane where they encounter each other. The objective

    P–n diode

    P–n_diode

  • Retinomorphic sensor
  • Optical sensor

    dependence on P {\displaystyle P} . The capacitance as a function of time in response to a step function, can therefore be written as: C ( t ) = { C d a r k

    Retinomorphic sensor

    Retinomorphic sensor

    Retinomorphic_sensor

  • Discrete time and continuous time
  • Frameworks for modeling variables that evolve over time

    {\displaystyle f} is again the excess demand function. A variable measured in discrete time can be plotted as a step function, in which each time period is given

    Discrete time and continuous time

    Discrete_time_and_continuous_time

  • Anisotropic Network Model
  • relation between function and dynamics for many proteins. It is essentially an Elastic Network Model for the Cα atoms with a step function for the dependence

    Anisotropic Network Model

    Anisotropic Network Model

    Anisotropic_Network_Model

  • Negligible function
  • Mathematical function

    negligible for any constant a ≥ 2 {\displaystyle a\geq 2} : Step: This is an exponential decay function where a {\displaystyle a} is a constant greater than

    Negligible function

    Negligible_function

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