Catálogo de publicaciones - libros
Stochastic Optimization Methods
Kurt Marti
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Operation Research/Decision Theory; Optimization; Computational Intelligence
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-22272-9
ISBN electrónico
978-3-540-26848-2
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer Berlin · Heidelberg 2005
Cobertura temática
Tabla de contenidos
Decision/Control Under Stochastic Uncertainty
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part I - Basic Stochastic Optimization Methods | Pp. 3-8
Deterministic Substitute Problems in Optimal Decision Under Stochastic Uncertainty
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part I - Basic Stochastic Optimization Methods | Pp. 9-42
Differentiation Methods for Probability and Risk Functions
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part II - Differentiation Methods | Pp. 45-93
Deterministic Descent Directions and Efficient Points
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part III - Deterministic Descent Directions | Pp. 97-126
RSM-Based Stochastic Gradient Procedures
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part IV - Semi-Stochastic Approximation Methods | Pp. 129-176
Stochastic Approximation Methods with Changing Error Variances
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part IV - Semi-Stochastic Approximation Methods | Pp. 177-249
Approximation of the Probability of Failure/Survival in Plastic Structural Analysis and Optimal Plastic Design
Kurt Marti
In this chapter we’re going to look at some advanced Ruby techniques that have not been covered in prior chapters. This chapter is the last instructional chapter in the second part of the book, and although we’ll be covering useful libraries, frameworks, and Ruby-related technologies in Part 3, this chapter rounds off the mandatory knowledge that any proficient Ruby programmer should have. This means that although this chapter will jump between several different topics, each is essential to becoming a professional Ruby developer.
Part V - Technical Applications | Pp. 253-271