Variance reduction by means of deterministic computation: collision estimate

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Variance reduction by means of deterministic computation: Collision estimate

In a recent paper, Heinrich (1995), a new variance reduction technique was introduced for the Monte Carlo solution of Fredholm integral equations. The idea, based on work in complexity theory, Heinrich and Mathé (1993), Heinrich (1994), consists in constructing a new equation sufficiently close to the original one and then applying standard schemes to both equations simultaneously. So the appro...

متن کامل

Variance Reduction in Monte Carlo Device Simulation by Means of Event Biasing

ABSTRACT A theoretical analysis of the Monte Carlo (MC) method for the solution of the stationary boundary value problem defined by the Boltzmann equation is briefly outlined. This analysis clearly shows how event biasing can be used within the well-known One-Particle MC method. To enhance statistics in sparsely populated regions of interest, artificial carrier heating is introduced by increasi...

متن کامل

Static Inductance Extraction by Means of the Monte Carlo Method and Variance Reduction Techniques for Acceleration

With increasing signal frequencies inductive effects of metallic interconnections in all kinds of packages become more and more important for the electrical performance of a circuit. During the design process it is therefore of interest to have a stable, fast and accurate simulation tool which is capable of extracting the inductance of large and complicated geometries. This work presents a new ...

متن کامل

Quantum Computation by Geometrical Means

A geometrical approach to quantum computation is presented, where a non-abelian connection is introduced in order to rewrite the evolution operator of an energy degenerate system as a holonomic unitary. For a simple geometrical model we present an explicit construction of a universal set of gates, represented by holonomies acting on degenerate states. 1. Prologue Abelian [Sha] and non-abelian [...

متن کامل

Nonlinear Dimensionality Reduction by Maximum Variance Unfolding

Many problems in AI are simplified by clever representations of sensory or symbolic input. How to discover such representations automatically, from large amounts of unlabeled data, remains a fundamental challenge. The goal of statistical methods for dimensionality reduction is to detect and discover low dimensional structure in high dimensional data. In this paper, we review a recently proposed...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Statistical Planning and Inference

سال: 2000

ISSN: 0378-3758

DOI: 10.1016/s0378-3758(99)00078-6