Programming (Mathematics)
Overview
| Works: | 74 works in 19 publications in 19 languages | |
|---|---|---|
Titles
Introduction to probability models : = operations research.. Volume 2 /
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Practical Mathematical Optimization = An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms /
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Stochastic versus fuzzy approaches to multiobjective mathematical programming under uncertainty /
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Differentiable optimization and equation solving = a treatise on algorithmic science and the Karmarkar revolution /
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Advances in computational intelligence = 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012 : proceedings.. Part III /
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Optimization of complex systems = theory, models, algorithms and applications /
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Business optimization using mathematical programming = an introduction with case studies and solutions in various algebraic modeling languages /
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Building and solving mathematical programming models = 50 practical examples /
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Optimizations and programming = linear, nonlinear, dynamic, stochastic and applications with Matlab /
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Multiple criteria optimization : = theory, computation, and application /
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Mathematical methods and theory in games, programming, and economics /
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Continuous optimization : = current trends and modern applications /
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Differentiable optimization and equation solving = a treatise on algorithmic science and the Karmarkar revolution /
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Self-regularity = a new paradigm for primal-dual interior-point algorithms /
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Continuous Optimization = Current Trends and Modern Applications /
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Paradigms of combinatorial optimization : = problems and new approaches /
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Genetic algorithms and genetic programming = modern concepts and practical applications /
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Flow networks = analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks /
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Bilevel programming problems = theory, algorithms and applications to energy networks /
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Fuzzy relational mathematical programming = linear, nonlinear and geometric programming models /
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From Lambda Calculus to cybersecurity through program analysis = essays dedicated to Chris Hankin on the occasion of his retirement /
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GNU Octave by example = a fast and practical approach to learning GNU Octave /
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The moment-SOS hierarchy : = lectures in probability, statistics, computational geometry, control and nonlinear PDEs /
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Numerical methods using Java = for data science, analysis, and engineering /
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Interior point approach to linear, quadratic, and convex programming : = algorithms and complexity /
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Multiple criteria optimization : = theory, computation, and application /
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