This document is the result of a reorganization of lecture notes used by the author during the Teaching Assistantship of the Optimization course at the M.Sc. in Economics program at the University of Venice. It collects a series of results in Static and Dynamic Optimization, Differential and Difference Equations useful as a background for the main courses in Mathematics, Finance and Economics both at the M.Sc. and at the Ph.D. level. In addition, it offers a brief critical summary of the power of programming and computational tools for applied mathematics, with an overview of some useful functions of the softwares MATLAB and R. All the codes used are available upon request to the author
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
Topology optimization (TO) is a relatively new numerical optimization technique for designing optima...
Optimization plays an important role in many methods routinely used in statistics, machine learning ...
This document is the result of a reorganization of lecture notes used by the author during the Teach...
Paaßen B, Artelt A, Hammer B. Lecture Notes on Applied Optimization. Faculty of Technology, Bielefel...
Optimization is a critical area in the fields of science, engineering, and mathematics. It involves ...
This paper is an attempt at describing the State of the Art of the vast field of continuous optimiza...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Description based on print version record.xi, 277 pages :MATLAB is a high-level language and environ...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
The papers collected in this volume were presented at the Symposium on Mathematical Optimization Tec...
"This thesis investigates several non-linear analogues of Lagrange functions in the hope of answerin...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
A thorough and highly accessible resource for analysts in a broad range of social sciences. Optimiza...
Effectively sharing resources requires solving complex decision problems. This requires constructing...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
Topology optimization (TO) is a relatively new numerical optimization technique for designing optima...
Optimization plays an important role in many methods routinely used in statistics, machine learning ...
This document is the result of a reorganization of lecture notes used by the author during the Teach...
Paaßen B, Artelt A, Hammer B. Lecture Notes on Applied Optimization. Faculty of Technology, Bielefel...
Optimization is a critical area in the fields of science, engineering, and mathematics. It involves ...
This paper is an attempt at describing the State of the Art of the vast field of continuous optimiza...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
Description based on print version record.xi, 277 pages :MATLAB is a high-level language and environ...
Optimization is the process of maximizing or minimizing a desired objective function while satisfyin...
The papers collected in this volume were presented at the Symposium on Mathematical Optimization Tec...
"This thesis investigates several non-linear analogues of Lagrange functions in the hope of answerin...
This book aims to illustrate with practical examples the applications of linear optimization techniq...
A thorough and highly accessible resource for analysts in a broad range of social sciences. Optimiza...
Effectively sharing resources requires solving complex decision problems. This requires constructing...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
Topology optimization (TO) is a relatively new numerical optimization technique for designing optima...
Optimization plays an important role in many methods routinely used in statistics, machine learning ...