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Principle in mathematical optimization
In mathematical optimization theory, duality or the duality principle is the principle that optimization problems may be viewed from either of two perspectives
Duality_(optimization)
Mathematical optimization concept
belong to a larger class of duality theorems in optimization. The strong duality theorem is one of the cases in which the duality gap (the gap between the
Dual_linear_program
Condition in mathematical optimization
Strong duality is a condition in mathematical optimization in which the primal optimal objective and the dual optimal objective are equal. By definition
Strong_duality
Concept in optimization
In applied mathematics, weak duality is a concept in optimization which states that the duality gap is always greater than or equal to 0. This means that
Weak_duality
General concept and operation in mathematics
Dual system Duality (electrical engineering) Duality (optimization) Duality (projective geometry) Dualizing module Dualizing sheaf Koszul duality Langlands
Duality_(mathematics)
Topics referred to by the same term
formalization of mathematical duality Duality (optimization) Duality (order theory), a concept regarding binary relations Duality (projective geometry), general
Duality
Study of mathematical algorithms for optimization problems
generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from
Mathematical_optimization
Subfield of mathematical optimization
Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently
Convex_optimization
Subfield of convex optimization
Conic optimization is a subfield of convex optimization that studies problems consisting of minimizing a convex function over the intersection of an affine
Conic_optimization
topology Dual wavelet Duality (optimization) Duality (order theory) Duality of stereotype spaces Duality (projective geometry) Duality theory for distributive
List_of_dualities
Method to solve optimization problems
programming (also known as mathematical optimization). More formally, linear programming is a technique for the optimization of a linear objective function, subject
Linear_programming
employed for MRF optimization. Dual decomposition is applied to markov logic programs as an inference technique. Discrete MRF Optimization (inference) is
MRF optimization via dual decomposition
MRF_optimization_via_dual_decomposition
Generalization of the Legendre transformation
conjugate is widely used for constructing the dual problem in optimization theory, thus generalizing Lagrangian duality. Let X {\displaystyle X} be a real topological
Convex_conjugate
Topics referred to by the same term
principle (Boolean algebra) Duality principle for sets Duality principle (optimization theory) Lagrange duality Duality principle in functional analysis
Duality_principle
In optimization problems in applied mathematics, the duality gap is the difference between the primal and dual solutions. If d ∗ {\displaystyle d^{*}}
Duality_gap
Generalization of binary functions
polynomial, a concept called roof duality can be used to obtain a lower bound for its minimum value. Roof duality may also provide a partial assignment
Pseudo-Boolean_function
Romanian mathematician and academic
optimization. In the subsequent year, he authored the book Conjugate Duality in Convex Optimization. The book explored advanced convex optimization,
Radu_I._Boț
Riemannian manifold Duality (optimization) Weak duality — dual solution gives a bound on the primal solution Strong duality — primal and dual solutions are
List of numerical analysis topics
List_of_numerical_analysis_topics
Mathematical concept
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute
Multi-objective_optimization
Mathematics of convex functions and sets
convex optimization. This perturbation framework includes many familiar dualities as special cases, including Fenchel duality and Lagrange duality. Different
Convex_analysis
In mathematical optimization, Wolfe duality, named after Philip Wolfe, is type of dual problem in which the objective function and constraints are all
Wolfe_duality
Concept in convex optimization
Slater condition) is a sufficient condition for strong duality to hold for a convex optimization problem, named after Morton L. Slater. Informally, Slater's
Slater's_condition
Result in microeconomics
from the unmaximized profit function. Taylor, C. Robert (1989). "Duality, Optimization, and Microeconomic Theory: Pitfalls for the Applied Researcher"
Hotelling's_lemma
Concept in microeconomics
Convex preferences Expenditure minimization problem Slutsky equation Duality (optimization) Hicks–Marshall laws of derived demand Jonathan Levin; Paul Milgrom
Hicksian_demand_function
Numerical optimization process
A sum-of-squares optimization program is an optimization problem with a linear cost function and constraints that certain polynomials constructed from
Sum-of-squares_optimization
Solving an optimization problem with a quadratic objective function
of solving certain mathematical optimization problems involving quadratic functions. Specifically, one seeks to optimize (minimize or maximize) a multivariate
Quadratic_programming
Theory of subatomic structure
Two theories related by a duality need not be string theories. For example, Montonen–Olive duality is an example of an S-duality relationship between quantum
String_theory
French applied mathematician
France. In mathematical optimization, Claude Lemaréchal is known for his work in numerical methods for nonlinear optimization, especially for problems
Claude_Lemaréchal
Mathematical method for optimizing material layout under given conditions
the performance of the system. Topology optimization is different from shape optimization and sizing optimization in the sense that the design can attain
Topology_optimization
Subfield of convex optimization
field of optimization which is of growing interest for several reasons. Many practical problems in operations research and combinatorial optimization can be
Semidefinite_programming
Israeli computer scientist (born 1960)
tensors, multilinear algebraic systems in vision and learning, primal/dual optimization for approximate inference in MRF and Graphical models, and (since
Amnon_Shashua
Hypothesis in neuroscience
energy with respect to outbound action information. This holistic dual optimization is characteristic of active inference, and the free energy principle
Free_energy_principle
Optimization software package for linear programming
IBM ILOG CPLEX Optimization Studio (often informally referred to simply as CPLEX) is an optimization software package. The CPLEX Optimizer was named after
CPLEX
Process to determine the highest profits for a firm
problem Welfare maximization Business organization Corporation Duality (optimization) Market structure Microeconomics Pricing Outline of industrial organization
Profit_maximization
American mathematician (1914–2005)
system optimization. With others. 1973. Compact city; a plan for a liveable urban environment. With Thomas L. Saaty. 1974. Studies in optimization. Edited
George_Dantzig
Numerical software
"Benchmarks for optimization software". Decision tree for optimization software. March 2022. Retrieved 31 March 2022. "Optimization and Operational Research:
HiGHS_optimization_solver
Type of multi-objective optimization
Lexicographic optimization is a kind of multi-objective optimization. In general, multi-objective optimization deals with optimization problems with two
Lexicographic_optimization
American mathematician
perturbation of parameters. This encapsulates linear programming duality and Lagrangian duality, and extends to general convex problems as well as nonconvex
R._Tyrrell_Rockafellar
traditional definition of Fenchel duality. Radu Ioan Boţ; Gert Wanka; Sorin-Mihai Grad (2009). Duality in Vector Optimization. Springer. ISBN 978-3-642-02885-4
Perturbation_function
Method in mathematical optimization
mathematical optimization, Lagrangian relaxation is a relaxation method which approximates a difficult problem of constrained optimization by a simpler
Lagrangian_relaxation
Concepts in convex analysis
maint: publisher location (link) Goh, C. J.; Yang, X.Q. (2002). Duality in optimization and variational inequalities. London; New York: Taylor & Francis
Dual_cone_and_polar_cone
Optimization algorithms using quantum computing
Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best
Quantum optimization algorithms
Quantum_optimization_algorithms
consumption. For another optimization, the inputs could be business choices and the output could be the profit obtained. An optimization problem, (in this case
List_of_optimization_software
Smallest convex set containing a given set
hulls have wide applications in mathematics, statistics, combinatorial optimization, economics, geometric modeling, and ethology. Related structures include
Convex_hull
but curved, and the degree of curvature is called the convexity. Duality (optimization) Epigraph (mathematics) - for a function f : Rn→R,[check spelling]
List_of_convexity_topics
Method to solve constrained optimization problems
In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equation
Lagrange_multiplier
French mathematician (born 1944)
241): Aubin, J. P.; Ekeland, I. (1976). "Estimates of the duality gap in nonconvex optimization". Mathematics of Operations Research. 1 (3): 225–245. doi:10
Ivar_Ekeland
Class of algorithms for solving constrained optimization problems
solving constrained optimization problems. They have similarities to penalty methods in that they replace a constrained optimization problem by a series
Augmented_Lagrangian_method
German mathematician (1905–1988)
contributions to geometry and to optimization theory. Fenchel established the basic results of convex analysis and nonlinear optimization theory which would, in
Werner_Fenchel
Compiler optimization technique
profile-guided optimization (PGO, sometimes pronounced as pogo), also known as profile-directed feedback (PDF) or feedback-directed optimization (FDO), is
Profile-guided_optimization
Graph representing faces of another graph
by the concept of a dual matroid. Variations of planar graph duality include a version of duality for directed graphs, and duality for graphs embedded
Dual_graph
Optimization algorithm
Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient method
Frank–Wolfe_algorithm
Convex optimization problem
design, and grasping force optimization in robotics. Applications in quantitative finance include portfolio optimization; some market impact constraints
Second-order_cone_programming
Mathematical function with convex lower level sets
mathematical analysis, in mathematical optimization, and in game theory and economics. In nonlinear optimization, quasiconvex programming studies iterative
Quasiconvex_function
British-Canadian mathematician (born 1962)
the SIAM Journal on Optimization, the SIAM Journal on Matrix Analysis and Applications, the SIAM Journal on Control and Optimization, and the MPS/SIAM Series
Adrian_Lewis_(mathematician)
Branch of applied mathematics
inspired further research on Lagrangian duality, including the treatment of inequality constraints. The duality theory of nonlinear programming is particularly
Mathematical_economics
Data storage device
piece of hardware, where data placement optimization is performed either entirely by the device (self-optimized mode), or through placement "hints" supplied
Hybrid_drive
Study of optimal transportation and allocation of resources
Given a cost function c ( x , y ) {\displaystyle c(x,y)} , it produces a duality transformation ψ ↦ ψ c {\displaystyle \psi \mapsto \psi ^{c}} defined by
Transportation theory (mathematics)
Transportation_theory_(mathematics)
447–527); Claude Lemaréchal, Nondifferentiable optimization (pp. 529–572); Rardin, Ronald L. (1998). Optimization in operations research. Prentice Hall.
Relaxation_(approximation)
linear program (multiobjective optimization). There is a dual variant of Benson's algorithm, which is based on geometric duality for multi-objective linear
Benson's_algorithm
Topics referred to by the same term
projective hypersurface Primal problem, a component of the duality principle in mathematical optimization theory "Primal" (Eureka episode), an episode of TV series
Primal
tables - DUAL can be used in these cases. SELECT 1+1 FROM dual; SELECT 1 FROM dual; SELECT USER FROM dual; SELECT SYSDATE FROM dual; SELECT * FROM dual; Charles
DUAL_table
Mathematical result in convex functions theory
In mathematics, Fenchel's duality theorem is a result in the theory of convex functions named after Werner Fenchel. Let f {\displaystyle f} be a proper
Fenchel's_duality_theorem
Primal-Dual algorithm optimization for convex problems
mathematics, the Chambolle–Pock algorithm is an algorithm used to solve convex optimization problems. It was introduced by Antonin Chambolle and Thomas Pock in 2011
Chambolle–Pock_algorithm
ISSN 0022-247X. S. K. Mishra and G. Giorgi, Invexity and optimization, Nonconvex Optimization and Its Applications, Vol. 88, Springer-Verlag, Berlin, 2008
Invex_function
Algorithm for solving the quadratic programming problem from training SVMs
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector
Sequential minimal optimization
Sequential_minimal_optimization
Mathematical theorem in convex analysis
a generalization of the bipolar theorem. It is used in duality theory to prove strong duality (via the perturbation function). Let ( X , τ ) {\displaystyle
Fenchel–Moreau_theorem
Greek-American electrical engineer (1942–2026)
Optimization Theory" (2009), which provided a new line of development for optimization duality theory, a new connection between the theory of Lagrange multipliers
Dimitri_Bertsekas
British mathematician (born 1945)
Wolsey has made seminal contributions in duality theory for integer programming, submodular optimization, the group-theoretic approach and polyhedral
Laurence_Wolsey
Real numbers adjoined with a nil-squaring element
Computational Methods in Mechanical Systems: Mechanism Analysis, Synthesis, and Optimization, NATO ASI Series, vol. 161, Springer Berlin Heidelberg, pp. 3–32, doi:10
Dual_number
American engineer and university president (born 1945)
aspects of large-scale optimization and operations research, specifically on the theory and application of large-scale optimization, particularly in the
Thomas_L._Magnanti
Mathematical optimization function
1965. The Moreau envelope has important applications in mathematical optimization: minimizing over M f {\displaystyle M_{f}} and minimizing over f {\displaystyle
Moreau_envelope
Algorithms for solving convex optimization problems
linear to convex optimization problems, based on a self-concordant barrier function used to encode the convex set. Any convex optimization problem can be
Interior-point_method
Pair of logical equivalences
"De Morgan's De Morgan's Laws Duality in the Emergence of Formal Logic", in Krömer, Ralf; Haffner, Emmylou (eds.), Duality in 19th and 20th Century Mathematical
De_Morgan's_laws
Probabilistic optimization technique and metaheuristic
Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization problem. For large numbers of local optima, SA
Simulated_annealing
Concept in mathematical optimization
In mathematical optimization, the Karush–Kuhn–Tucker (KKT) conditions, also known as the Kuhn–Tucker conditions, are first derivative tests (sometimes
Karush–Kuhn–Tucker_conditions
Concept in mathematics
In mathematics, mirror descent is an iterative optimization algorithm for finding a local minimum of a differentiable function. It generalizes algorithms
Mirror_descent
Optimization software package
convex optimization. Computational Optimization and Applications, 10:243–269, 1998 E. D. Andersen and K. D. Andersen. The MOSEK interior point optimizer for
MOSEK
Field of engineering
Multi-disciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number
Multidisciplinary design optimization
Multidisciplinary_design_optimization
Solvability theorem for finite systems of linear inequalities
underpinning the linear programming duality and has played a central role in the development of mathematical optimization (alternatively, mathematical programming)
Farkas'_lemma
Class of algorithms that find approximate solutions to optimization problems
algorithms are efficient algorithms that find approximate solutions to optimization problems (in particular NP-hard problems) with provable guarantees on
Approximation_algorithm
13 polyhedra; duals of the Archimedean solids
and symmetric vertices. The faces of the Catalan solids correspond by duality to the vertices of Archimedean solids, and vice versa. The Catalan solids
Catalan_solid
Soviet mathematician (1908–1988)
president of the International Mathematical Union. Pontryagin worked on duality theory for homology while still a student. He went on to lay foundations
Lev_Pontryagin
Concept in mathematical optimization
In mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP). Whereas the objective function in a linear
Linear-fractional_programming
Optimization method
multi-objective optimization deals with optimization problems with two or more objective functions to be optimized simultaneously. Lexmaxmin optimization presumes
Lexicographic max-min optimization
Lexicographic_max-min_optimization
Optimization technique for solving (mixed) integer linear programs
In mathematical optimization, the cutting-plane method is any of a variety of optimization methods that iteratively refine a feasible set or objective
Cutting-plane_method
Numerical method
towards its parameters in a constraint optimization form. By using the dual form of this constraint optimization problem, it can be used to calculate the
Adjoint_state_method
Theory in theoretical physics
and so arrive at the same geometry as in the dual theory. The mirror dual of this duality is another duality, which relates open strings in the B model
Topological_string_theory
Equivalence of optimization problems
Combinatorial Optimization: Algorithms and Complexity. Dover. pp. 120–128. ISBN 0-486-40258-4. Vijay V. Vazirani (2004). "12. Introduction to LP-Duality". Approximation
Max-flow_min-cut_theorem
notable optimization software libraries, either specialized or general purpose libraries with significant optimization coverage. List of optimization software
Comparison of optimization software
Comparison_of_optimization_software
mathematical optimization, total dual integrality is a sufficient condition for the integrality of a polyhedron. Thus, the optimization of a linear objective
Total_dual_integrality
number line Antichain Strict order Hasse diagram Directed acyclic graph Duality (order theory) Product order Greatest element (maximum, top, unit), Least
List_of_order_theory_topics
Google program
for reinforcement learning. "Sudoku, Linear Optimization, and the Ten Cent Diet". "Sudoku, Linear Optimization, and the Ten Cent Diet". "A structured prediction
GLOP
Matroid with complemented basis sets
Matroid duals go back to the original paper by Hassler Whitney defining matroids. They generalize to matroids the notions of plane graph duality. Duality is
Dual_matroid
Abstraction of linear independence of vectors
Matroids have found applications in geometry, topology, combinatorial optimization, network theory, and coding theory. There are many equivalent ways to
Matroid
Length of a line segment
Minima with Applications: Practical Optimization and Duality, Wiley Series in Discrete Mathematics and Optimization, vol. 51, John Wiley & Sons, p. 61
Euclidean_distance
Class of nonparametric methods
y_{i}\}_{i=1}^{n},\ y_{i}\in \{+1,-1\}} . SMMs solve the standard SVM dual optimization problem using the following expected kernel K ( P ( X ) , Q ( Z )
Kernel embedding of distributions
Kernel_embedding_of_distributions
Stage of drug discovery
and undergo limited optimization to identify promising lead compounds. These lead compounds undergo more extensive optimization in a subsequent step
Hit_to_lead
Combinatorial optimization method for pseudo-Boolean functions
Quadratic pseudo-Boolean optimisation (QPBO) is a combinatorial optimization method for minimizing quadratic pseudo-Boolean functions in the form f ( x
Quadratic pseudo-Boolean optimization
Quadratic_pseudo-Boolean_optimization
Mathematical problem in operations research
pieces of specified sizes while minimizing material wasted. It is an optimization problem in mathematics that arises from applications in industry. In
Cutting_stock_problem
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
Boy/Male
Hindu, Indian, Kannada, Oriya
Non Duality
Boy/Male
Tamil
Quality
Girl/Female
Hindu, Indian
Characteristics; Quality
Boy/Male
Hindu, Indian, Kannada, Marathi, Oriya, Sanskrit, Tamil, Telugu
Non-duality
Girl/Female
Indian, Kannada
Non-duality
Girl/Female
Indian, Punjabi, Sikh
Famous; Quality
Boy/Male
Hindu
Quality
Boy/Male
Indian, Punjabi, Sikh
Favourite; Beloved; Non-duality
Boy/Male
Hindu
Quality
Girl/Female
Bengali, Hindu, Indian, Kannada, Sanskrit
Non Duality
Boy/Male
Indian
Duality
Boy/Male
Indian, Kannada, Sanskrit, Tamil
Only One; Non-duality
Boy/Male
Muslim
Quality
Boy/Male
Christian & English(British/American/Australian)
High Quality
Boy/Male
Arabic, Muslim
Quality
Girl/Female
Indian, Telugu
Oneness; Non-duality
Boy/Male
Hindu, Indian, Marathi
Quality; Plenty
Girl/Female
Indian, Punjabi, Sikh
Heroic Quality
Boy/Male
Tamil
Quality
Boy/Male
Muslim/Islamic
Quality
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
Biblical
A whole, Congregation
Girl/Female
Indian
A virgin maiden of paradise
Boy/Male
Irish
Hound of the plains.
Girl/Female
Muslim/Islamic
Guidance
Boy/Male
Arabic, Muslim
Servant of the Restorer
Male
Italian
Italian form of Roman Latin Germanus, GERMANO means "from Germany."
Boy/Male
Muslim
Apple in Persian also means great warrior
Boy/Male
English
Gift
Girl/Female
Hindu, Indian
Eternal
Boy/Male
Hawaiian
Wise.
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
DUALITY OPTIMIZATION
n.
The state or quality of being real; actual being or existence of anything, in distinction from mere appearance; fact.
n.
The condition of being of such and such a sort as distinguished from others; nature or character relatively considered, as of goods; character; sort; rank.
n.
The quality or state of being rural.
a.
Consisting of two; pertaining to dualism or duality.
n.
An acquired trait; accomplishment; acquisition.
n.
The condition or quality of being equal; agreement in quantity or degree as compared; likeness in bulk, value, rank, properties, etc.; as, the equality of two bodies in length or thickness; an equality of rights.
n.
The quality or condition of being two or twofold; dual character or usage.
n.
Superior birth or station; high rank; elevated character.
v. t.
To give individual quality to; to modulate; to vary; to regulate.
n.
Evenness; uniformity; as, an equality of surface.
n.
Sameness in state or continued course; evenness; uniformity; as, an equality of temper or constitution.
n.
One who believes in dualism; a ditheist.
n.
The quality of being sweet or pleasing to the mind; agreeableness; softness; pleasantness; gentleness; urbanity; as, suavity of manners; suavity of language, conversation, or address.
v. t.
To reduce from a general, undefined, or comprehensive form, to particular or restricted form; to modify; to limit; to restrict; to restrain; as, to qualify a statement, claim, or proposition.
n.
The quality or state of being null; nothingness; want of efficacy or force.
n.
Nonexistence; as, a decree of nullity of marriage is a decree that no legal marriage exists.
n.
That which makes, or helps to make, anything such as it is; anything belonging to a subject, or predicable of it; distinguishing property, characteristic, or attribute; peculiar power, capacity, or virtue; distinctive trait; as, the tones of a flute differ from those of a violin in quality; the great quality of a statesman.
n.
Special or temporary character; profession; occupation; assumed or asserted rank, part, or position.
n.
The quality or state of being ideal.
n.
Equality.