"Jonas Mockus" appeared in Books and Chapters

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Book	Author(s)	Year	Publisher
A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Bayesian Approach to Global Optimization: Theory and Applications	Jonas Mockus	1989	Springer Netherlands
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications	Jonas Mockus; William Eddy; Audris Mockus; Linas Mockus; Gintaras Reklaitis	1997	Springer US
Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications	Jonas Mockus, William Eddy, Audris Mockus, Linas Mockus, Gintaras Reklaitis (auth.)	1997	Springer US
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
General Ideas of Bayesian Heuristic Approach	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Explaining Bayesian Heuristic Approach by Example of Knapsack Problem	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Introduction to Software	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Portable Fortran Version (GMF)	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Turbo C Version (TCGM)	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
C++ Version (GMC)	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Java JDK1. 0 Version (GMJ0)	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Java JDK1. 1 and JDK1. 2 Versions, GMJ1 and GMJ2	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Competition Model with Fixed Resource Prices, Nash Equilibrium	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Competition Model with Free Resource Prices, Walras Equilibrium	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Inspection Model	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
“Duel” Problem, Differential Game Model	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
“Portfolio” Problem, Optimal Investment of Resources	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Exchange Rate Prediction, Time Series Model	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Call Center Model	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Optimal Scheduling	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Sequential Statistical Decisions Model, “Bride Problem”	Jonas Mockus	A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach	Jonas Mockus	2000	Springer US
Global Optimization and the Bayesian Approach	Jonas Mockus	Bayesian Approach to Global Optimization: Theory and Applications	Jonas Mockus	1989	Springer Netherlands
The Conditions of Bayesian Optimality	Jonas Mockus	Bayesian Approach to Global Optimization: Theory and Applications	Jonas Mockus	1989	Springer Netherlands
The Axiomatic Non-Probabilistic Justification of Bayesian Optimality Conditions	Jonas Mockus	Bayesian Approach to Global Optimization: Theory and Applications	Jonas Mockus	1989	Springer Netherlands
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 54 entries