Monte carlo methods applications (85 Ergebnisse)

hardcover. Zustand: GOOD PLUS. Binding split at title page and at rear of book but pages still held securely. Fully functional. This is a brown and orange hardcover, 198, in the series "Topics in Current Physics". No marks or writing, very minimal cover wear. **We provide professional service and individual attention to your order, daily shipments, and sturdy packaging. FREE TRACKING ON ALL SHIPMENTS WITHIN USA.…

Zustand: Good. Volume 27. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9783540442134.…

Zustand: New. 2023rd edition NO-PA16APR2015-KAP.

Zustand: New. In English.

Zustand: New. 2023rd edition NO-PA16APR2015-KAP.

Hardcover. Zustand: Very Good. Hardcover, xiii + 233 pages, NOT ex-library. A clean copy, unmarked text, firm binding. Issued without a dust jacket. Contents: 1 Improvement of Multi-population Genetic Algorithms Convergence Time [Short Overview of MpGA Modifications; Parameter Identification of S. cerevisiae Fed-Batch Cultivation Using Different Kinds of MpGA; Analysis & Conclusions] 2 Parallelization & Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI & CUDA [Metropolis Monte Carlo Method; Decomposition into Subdomains & Virtual Topology Using OpenMPI; Management of Hypersphere Coordinate Migration Between Domains; Pseudorandom Number Generation; Results of Running the Modified Code] 3 Efficient Implementation of the Heston Model Using GPGPU [Our GPGPU-Based Algorithm for Option Pricing; Numerical Results] 4 On a Game-Method for Modeling with Intuitionistic Fuzzy Estimations Pt 2 [Short Remarks on the Game-Method for Modeling from Crisp Point of View; On the Game-Method for Modeling with Intuitionistic Fuzzy Estimations; Main Results] 5 Generalized Nets, ACO Algorithms & Genetic Algorithms [ACO & GA; GN for Hybrid ACO-GA Algorithm] 6 Bias Evaluation & Reduction for Sample-Path Optimization [Problem Formulation; Taylor-Based Bias Correction; Impact on the Optimization Bias] 7 Monte Carlo Simulation of Electron Transport in Quantum Cascade Lasers [QCL Transport Model; Results & Discussion] 8 Markov Chain Monte Carlo Particle Algorithms for Discrete-Time Nonlinear Filtering [General Particle Filtering Framework; High Dimensional Particle Schemes; Illustrative Examples] 9 Game-Method for Modeling & WRF-Fire Model Working Together [Description of the Game-Method for Modeling; General Description of the Coupled Atmosphere Fire Modeling & WRF-Fire; Wind Simulation Approach] 10 Wireless Sensor Network Layout [Problem; ACO for WSN Layout Problem; Experimental Results] 11 Two-Dimensional Lorentzian Distribution for an Atomic Force Microscopy Simulator [Modeling Oxidation Kinetics; Development of the Lorentzian Model] 12 Stratified Monte Carlo Integration [Numerical Integration] 13 Monte Carlo Simulation of Asymmetric Flow Field Flow Fractionation [Motivation; AFFFF; Mathematical Model & Numerical Algorithm; Numerical Results] 14 Convexization in Markov Chain Monte Carlo [Auxiliary Functions; Stochastic Auxiliary Functions; Metropolis-Hastings Auxiliary Algorithm; Numerical Experiments] 15 Value Simulation of the Interacting Pair Number for Solution of the Monodisperse Coagulation Equation [Value Simulation for Integral Equations; Results of the Numerical Experiments] 16 Parallelization of Algorithms for Solving a 3D Sudoku Puzzle [Simulated Annealing Method; Successful Algorithms for Solving the 3D Puzzle Using MPI; Results] 17 Efficiency Study of Splitting & Branching in the Monte Carlo Method [Randomized Branching; Splitting] 18 On the Asymptotics of a Lower Bound for the Diaphony of Generalized van der Corput Sequences [Introduction & Main Result; Definitions & Previous Results; Proof of Theorem] 19 Group Object Tracking with a Sequential Monte Carlo Method Based on a Parameterized Likelihood Function [Motivation; Group Object Tracking within the Sequential Monte Carlo Framework; Measurement Likelihood for Group Object Tracking; Performance Evaluation] 20 Template Design Problem: Perspective with Metaheuristics [Template Design Problem; Solving the TDP under Deterministic Demand; Experimental Results] 21 Comparison of Simulated Annealing & Genetic Algorithm Approaches for Cultivation Model Identification [Genetic Algorithm; Simulated Annealing; E. coli MC4110 Fed-Batch Cultivation Process Model] 22 Monte Carlo Investigations of Electron Decoherence due to Phonons [Algorithms] 23 Geometric Allocation Approach for the Transition Kernel of a Markov Chain [Geometric Approach; Benchmark Test] 24 Exact Sampling for the Ising Model at All Temperatures [Ising Model; Exact Sampling; Random Cluster Model; Exact Sampling for the Ising Model]. …

Hardcover. 1st ed. 1995. 2nd printing. XIV, 324 S. : Ill., graph. Darst. ; 25 cm Like new! Unread book with minimum traces of storge. 9783540570691 Sprache: Englisch Gewicht in Gramm: 620.

Taschenbuch. Zustand: Neu. Monte Carlo Methods Utilizing Mathematica® | Applications in Inverse Transform and Acceptance-Rejection Sampling | Sujaul Chowdhury | Taschenbuch | Synthesis Lectures on Mathematics & Statistics | viii | Englisch | 2024 | Springer | EAN 9783031232961 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Hardcover. Zustand: new. Hardcover. The Monte Carlo method is one of the top 10 algorithms in the 20th century. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design automation (EDA) problems. Compared with the traditional method, the Monte Carlo method is more efficient when point values or linear functional of the solution are needed, and has the advantages on scalability, parallelism, and stability of accuracy. This book presents a systematic introduction to the Monte Carlo method for solving major kinds of PDEs, and the detailed explanation of relevant techniques for EDA problems especially the cutting-edge algorithms of random walk based capacitance extraction. It includes about 100 figures and 50 tables, and brings the reader a close look to the newest research results and the sophisticated algorithmic skills in Monte Carlo simulation software. The Monte Carlo method is one of the top 10 algorithms in the 20th century. This book presents a systematic introduction to the Monte Carlo method for solving major kinds of PDEs, and the detailed explanation of relevant techniques for EDA problems especially the cutting-edge algorithms of random walk based capacitance extraction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

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Gebunden. Zustand: New.

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Monte Carlo method is one of the top 10 algorithms in the 20thcentury. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design automation (EDA) problems. Compared with the traditional method, the Monte Carlo method is more efficient when point values or linear functional of the solution are needed, and has the advantages on scalability, parallelism, and stability of accuracy. This book presents a systematic introduction to the Monte Carlo method for solving major kinds of PDEs, and the detailed explanation of relevant techniques for EDA problems especially the cutting-edge algorithms of random walk based capacitance extraction. It includes about 100 figures and 50 tables, and brings the reader a close look to the newest research results and the sophisticated algorithmic skills in Monte Carlo simulation software.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The Monte Carlo method is one of the top 10 algorithms in the 20thcentury. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design automation (EDA) problems. Compared with the traditional method, the Monte Carlo method is more efficient when point values or linear functional of the solution are needed, and has the advantages on scalability, parallelism, and stability of accuracy. This book presents a systematic introduction to the Monte Carlo method for solving major kinds of PDEs, and the detailed explanation of relevant techniques for EDA problems especially the cutting-edge algorithms of random walk based capacitance extraction. It includes about 100 figures and 50 tables, and brings the reader a close look to the newest research results and the sophisticated algorithmic skills in Monte Carlo simulation software.…

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Zustand: New.

Zustand: new.

Paperback. Zustand: Brand New. 267 pages. 9.25x6.10x0.56 inches. In Stock.

Taschenbuch. Zustand: Neu. Monte Carlo Methods for Partial Differential Equations With Applications to Electronic Design Automation | Wenjian Yu (u. a.) | Taschenbuch | xiv | Englisch | 2023 | Springer | EAN 9789811932526 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In English.

Paperback. Zustand: Brand New. 256 pages. 8.66x5.91x0.58 inches. In Stock.