Multi Dimensional Monte Carlo Integrations by Chowdhury Sujaul (24 results)

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New.

Condition: New. In.

Paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. We have chosen suitable multi-variable probability density functions and obtained corresponding random variates using the random sampling method called acceptance-rejection method. This book provides hands-on and practical demonstrations of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated 2, 3, 5, 7 and 10 dimensional definite integrals. We performed symbolic computations using programs written in Mathematica(R), in which we performed the variate sampling and evaluated the integrals. The book is self-contained. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. This book provides practical, hands-on demonstration of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated a large number of multi-dimensional definite integrals using Monte Carlo method. These are 2, 3, 5, 7 and 10 dimensional definite integrals. We have used mean value method for the evaluations. We have performed function evaluations at random values of the variables gathered as uniform random variates using inverse transform sampling method. We have performed symbolic computations using programs written in Mathematica. Very much smaller number of function evaluations is found to lead to much lower error compared to the case with uniform, non-random sampling i.e. without using Monte Carlo method. This is consistent with what we often hear about a virtue of Monte Carlo method in evaluating multi-dimensional or high-dimensional definite integrals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: New.

Paperback. Condition: New.

Paperback. Condition: new. Paperback. We have chosen suitable multi-variable probability density functions and obtained corresponding random variates using the random sampling method called acceptance-rejection method. This book provides hands-on and practical demonstrations of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated 2, 3, 5, 7 and 10 dimensional definite integrals. We performed symbolic computations using programs written in Mathematica(R), in which we performed the variate sampling and evaluated the integrals. The book is self-contained. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. This book provides practical, hands-on demonstration of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated a large number of multi-dimensional definite integrals using Monte Carlo method. These are 2, 3, 5, 7 and 10 dimensional definite integrals. We have used mean value method for the evaluations. We have performed function evaluations at random values of the variables gathered as uniform random variates using inverse transform sampling method. We have performed symbolic computations using programs written in Mathematica. Very much smaller number of function evaluations is found to lead to much lower error compared to the case with uniform, non-random sampling i.e. without using Monte Carlo method. This is consistent with what we often hear about a virtue of Monte Carlo method in evaluating multi-dimensional or high-dimensional definite integrals. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. We have chosen suitable multi-variable probability density functions and obtained corresponding random variates using the random sampling method called acceptance-rejection method. This book provides hands-on and practical demonstrations of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated 2, 3, 5, 7 and 10 dimensional definite integrals. We performed symbolic computations using programs written in Mathematica(R), in which we performed the variate sampling and evaluated the integrals. The book is self-contained. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. This book provides practical, hands-on demonstration of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated a large number of multi-dimensional definite integrals using Monte Carlo method. These are 2, 3, 5, 7 and 10 dimensional definite integrals. We have used mean value method for the evaluations. We have performed function evaluations at random values of the variables gathered as uniform random variates using inverse transform sampling method. We have performed symbolic computations using programs written in Mathematica. Very much smaller number of function evaluations is found to lead to much lower error compared to the case with uniform, non-random sampling i.e. without using Monte Carlo method. This is consistent with what we often hear about a virtue of Monte Carlo method in evaluating multi-dimensional or high-dimensional definite integrals. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. Acceptance-Rejection Sampling and Multi-dimensional Monte Carlo Integrations Utilizing Mathematica® | Sujaul Chowdhury | Taschenbuch | Englisch | 2025 | American Academic Press | EAN 9798337089294 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Multi-dimensional Monte Carlo Integrations Utilizing Mathematica | Sujaul Chowdhury | Taschenbuch | Englisch | 2025 | American Academic Press | EAN 9798337089232 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We have chosen suitable multi-variable probability density functions and obtained corresponding random variates using the random sampling method called acceptance-rejection method. This book provides hands-on and practical demonstrations of evaluation of multi-dimensional or high-dimensional definite integrals using Monte Carlo method. We have evaluated 2, 3, 5, 7 and 10 dimensional definite integrals. We performed symbolic computations using programs written in Mathematica(R), in which we performed the variate sampling and evaluated the integrals. The book is self-contained.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.