[Nonconvex Optimization and Its Applications] Multiscale Optimization Methods and Applications Volume 82 || Shape Optimization of Transfer Functions

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Mathematical Theory of Optimization Volume 56 || Interior Point Methods

✍ Du, Ding-Zhu; Pardalos, Panos M.; Wu, Weili 📂 Article 📅 2001 🏛 Springer US 🌐 English ⚖ 921 KB

This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Generalized Convexity and Vector Optimization Volume 90 || Generalized Convex Functions

✍ , 📂 Article 📅 2009 🏛 Springer Berlin Heidelberg ⚖ 194 KB

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Mathematical Theory of Optimization Volume 56 || Efficiency

✍ Du, Ding-Zhu; Pardalos, Panos M.; Wu, Weili 📂 Article 📅 2001 🏛 Springer US 🌐 English ⚖ 754 KB

This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Generalized Convexity and Vector Optimization Volume 90 || Introduction

✍ , 📂 Article 📅 2009 🏛 Springer Berlin Heidelberg ⚖ 75 KB

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Mathematical Theory of Optimization Volume 56 || Semidefinite Programming

✍ Du, Ding-Zhu; Pardalos, Panos M.; Wu, Weili 📂 Article 📅 2001 🏛 Springer US 🌐 English ⚖ 887 KB

This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in globa

[Nonconvex Optimization and Its Applicat

[Nonconvex Optimization and Its Applications] Conjugate Gradient Algorithms in Nonconvex Optimization Volume 89 || Conjugate Direction Methods for Quadratic Problems

✍ , 📂 Article 📅 2009 🏛 Springer Berlin Heidelberg ⚖ 461 KB