{"leader":"04323cam a2200493Ii 4500","fields":[{"001":"6482958"},{"005":"20150820110050.0"},{"006":"m o d"},{"007":"cr cnu|||unuuu"},{"008":"150406s2015 enk ob 001 0 eng d"},{"020":{"ind1":" ","ind2":" ","subfields":[{"a":"9780081004715"},{"q":"electronic bk."}]}},{"020":{"ind1":" ","ind2":" ","subfields":[{"a":"0081004710"},{"q":"electronic bk."}]}},{"020":{"ind1":" ","ind2":" ","subfields":[{"z":"9781785480058"}]}},{"020":{"ind1":" ","ind2":" ","subfields":[{"z":"1785480057"}]}},{"035":{"ind1":" ","ind2":" ","subfields":[{"a":"(NhCcYBP)eybpebr11040161"}]}},{"035":{"ind1":" ","ind2":" ","subfields":[{"a":"6482958"}]}},{"040":{"ind1":" ","ind2":" ","subfields":[{"a":"NhCcYBP"},{"c":"NhCcYBP"}]}},{"050":{"ind1":" ","ind2":"4","subfields":[{"a":"QA274.2"}]}},{"072":{"ind1":" ","ind2":"7","subfields":[{"a":"MAT"},{"x":"003000"},{"2":"bisacsh"}]}},{"072":{"ind1":" ","ind2":"7","subfields":[{"a":"MAT"},{"x":"029000"},{"2":"bisacsh"}]}},{"082":{"ind1":"0","ind2":"4","subfields":[{"a":"519.2"},{"2":"23"}]}},{"100":{"ind1":"1","ind2":" ","subfields":[{"a":"Cursi, Eduardo Souza de,"},{"e":"author."}]}},{"245":{"ind1":"1","ind2":"0","subfields":[{"a":"Uncertainty Quantification and Stochastic Modeling with Matlab"},{"h":"[electronic resource]."}]}},{"264":{"ind1":" ","ind2":"1","subfields":[{"a":"London :"},{"b":"ISTE Press Ltd ;"},{"a":"Kidlington, Oxford :"},{"b":"Elsevier Ltd.,"},{"c":"2015."}]}},{"300":{"ind1":" ","ind2":" ","subfields":[{"a":"1 online resource"}]}},{"336":{"ind1":" ","ind2":" ","subfields":[{"a":"text"},{"b":"txt"},{"2":"rdacontent"}]}},{"337":{"ind1":" ","ind2":" ","subfields":[{"a":"computer"},{"b":"c"},{"2":"rdamedia"}]}},{"338":{"ind1":" ","ind2":" ","subfields":[{"a":"online resource"},{"b":"cr"},{"2":"rdacarrier"}]}},{"533":{"ind1":" ","ind2":" ","subfields":[{"a":"Electronic reproduction."},{"b":"Palo Alto, Calif."},{"n":"Available via World Wide Web."}]}},{"588":{"ind1":"0","ind2":" ","subfields":[{"a":"Vendor-supplied metadata."}]}},{"504":{"ind1":" ","ind2":" ","subfields":[{"a":"Includes bibliographical references and index."}]}},{"505":{"ind1":"0","ind2":" ","subfields":[{"a":"Front Cover ; Uncertainty Quantification and Stochastic Modeling with Matlab\u00c2\u00ae ; Copyright ; Contents ; Introduction ; Chapter 1: Elements of Probability Theory and Stochastic Processes ; 1.1. Notation ; 1.2. Numerical Characteristics of Finite Populations ; 1.3. Matlab Implementation; 1.4. Couples of Numerical Characteristics ; 1.5. Matlab Implementation ; 1.6. Hilbertian Properties of the Numerical Characteristics ; 1.7. Measure and Probability ; 1.8. Construction of Measures ; 1.9. Measures, Probability and Integrals in Infinite Dimensional Spaces ; 1.10. Random Variables"}]}},{"505":{"ind1":"8","ind2":" ","subfields":[{"a":"1.11. Hilbertian Properties of Random Variables 1.12. Sequences of Random Variables ; 1.13. Some Usual Distributions ; 1.14. Samples of Random Variables ; 1.15. Gaussian Samples ; 1.16. Stochastic Processes ; 1.17. Hilbertian Structure ; 1.18. Wiener Process ; 1.19. Ito Integrals ; 1.20. Ito Calculus ; Chapter 2: Maximum Entropy and Information ; 2.1. Construction of a Stochastic Model ; 2.2. The Principle of Maximum Entropy ; 2.3. Generating Samples of Random Variables, Random Vectors and Stochastic Processes"}]}},{"505":{"ind1":"8","ind2":" ","subfields":[{"a":"2.4. Karhunen-Loe?ve Expansions and Numerical Generation of Variates from Stochastic Processes Chapter 3: Representation of Random Variables ; 3.1. Approximations Based on Hilbertian Properties ; 3.2. Approximations Based on Statistical Properties (Moment Matching Method); 3.3. Interpolation-Based Approximations (Collocation); Chapter 4: Linear Algebraic Equations Under Uncertainty ; 4.1. Representation of the Solution of Uncertain Linear Systems ; 4.2. Representation of Eigenvalues and Eigenvectors of Uncertain Matrices ; 4.3. Stochastic Methods for Deterministic Linear Systems"}]}},{"505":{"ind1":"8","ind2":" ","subfields":[{"a":"Chapter 5: Nonlinear Algebraic Equations Involving Random Parameters 5.1. Nonlinear Systems of Algebraic Equations ; 5.2. Numerical Solution of Noisy Deterministic Systems of Nonlinear Equations ; Chapter 6: Differential Equations Under Uncertainty ; 6.1. The Case of Linear Differential Equations ; 6.2. The Case of Nonlinear Differential Equations ; 6.3. The Case of Partial Differential Equations ; 6.4. Reduction of Hamiltonian Systems ; 6.5. Local Solution of Deterministic Differential Equations by Stochastic Simulation ; 6.6. Statistics of Dynamical Systems"}]}},{"505":{"ind1":"8","ind2":" ","subfields":[{"a":"Chapter 7: Optimization Under Uncertainty 7.1. Representation of the Solutions in Unconstrained Optimization ; 7.2. Stochastic Methods in Deterministic Continuous Optimization ; 7.3. Population-Based Methods; 7.4. Determination of Starting Points ; Chapter 8: Reliability-Based Optimization ; 8.1. The Model Situation ; 8.2. Reliability Index ; 8.3. FORM; 8.4. The Bi-Level or Double-Loop Method; 8.5. One-Level or Single-Loop Approach ; 8.6. Safety Factors ; Bibliography ; Index"}]}},{"506":{"ind1":" ","ind2":" ","subfields":[{"a":"Restricted for use by site license."}]}},{"650":{"ind1":" ","ind2":"0","subfields":[{"a":"Stochastic models."}]}},{"650":{"ind1":" ","ind2":"0","subfields":[{"a":"Uncertainty (Information theory)"}]}},{"700":{"ind1":"1","ind2":" ","subfields":[{"a":"Sampaio, Rubens,"},{"e":"author."}]}},{"710":{"ind1":"2","ind2":" ","subfields":[{"a":"ebrary, Inc."}]}},{"776":{"ind1":"0","ind2":"8","subfields":[{"i":"Print version:"},{"z":"9780081004715"}]}},{"856":{"ind1":"4","ind2":"0","subfields":[{"u":"http:\/\/hdl.library.upenn.edu\/1017.12\/1405234"},{"z":"Connect to full text"}]}}]}