Mathematical Programming


Book Description

This comprehensive work covers the whole field of mathematical programming, including linear programming, unconstrained and constrained nonlinear programming, nondifferentiable (or nonsmooth) optimization, integer programming, large scale systems optimization, dynamic programming, and optimization in infinite dimensions. Special emphasis is placed on unifying concepts such as point-to-set maps, saddle points and perturbations functions, duality theory and its extensions.







Mathematical Programming for Operations Researchers and Computer Scientists


Book Description

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.




Mathematical Programming with Data Perturbations


Book Description

Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.




Mathematical Programming with Data Perturbations II, Second Edition


Book Description

This book presents theoretical results, including an extension of constant rank and implicit function theorems, continuity and stability bounds results for infinite dimensional problems, and the interrelationship between optimal value conditions and shadow prices for stable and unstable programs.




Optimization


Book Description

This book is concerned with tangent cones, duality formulas, a generalized concept of conjugation, and the notion of maxi-minimizing sequence for a saddle-point problem, and deals more with algorithms in optimization. It focuses on the multiple exchange algorithm in convex programming.




Mathematical Essays


Book Description

This is a collection of research papers published in various mathematical journals by friends, colleagues and former students of Professor Buchin Su in honor ofhis 80th birthday and 50th year of educational work.Professor Su was born in 1902 in Pingyang County, Zhejiang Province, People's Republic of China. He received the degree of Bachelor of Science inmathematics from Tohoku University, Sendai, Japan in 1927, and the degree ofDoctor of Science from the same university in 1931. After returning to Chinain 1931, he first taught at Zhejiang University in Hangzhou until 1952 when thewhole College of Science of Zhejiang University was merged into Fudan Universityin Shanghai. During his 50 years of educational work besides teaching, he alsohas taken up various administrative positions serving as Chairman, Dean, VicePresident and finally the President of Fudan University in 1978




DGOR


Book Description

The book presents the results of the joint annual conference of the four Operations Research Societies DGOR, GM\OR, \GOR and SVOR, held in Vienna in 1990. The main goal was to present practical experiences as well as theoretical results. Both aspects are covered in a balanced way. Papers cover topics from the fields Optimization, Stochastic Modells, Decision Theory and Multicriteria Decision Making, Control Theory, Mathematical Economics, Game Theory, Macroeconomics, Econometrics and Statistics, Supercomputing and Simulation, Non-linear Systems, Artificial Intelligence and Expert Systems, Fuzzy Sets and Systems, Production, Logistics, Inventory and Marketing among others.







Convergence and Applications of Newton-type Iterations


Book Description

This monograph is devoted to a comprehensive treatment of iterative methods for solving nonlinear equations with particular emphasis on semi-local convergence analysis. Theoretical results are applied to engineering, dynamic economic systems, input-output systems, nonlinear and linear differential equations, and optimization problems. Accompanied by many exercises, some with solutions, the book may be used as a supplementary text in the classroom for an advanced course on numerical functional analysis.