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Discrete time and continuous time

About: Discrete time and continuous time is a research topic. Over the lifetime, 21680 publications have been published within this topic receiving 391924 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
Abstract: The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. This paper analyzes a particle's trajectory as it moves in discrete time (the algebraic view), then progresses to the view of it in continuous time (the analytical view). A five-dimensional depiction is developed, which describes the system completely. These analyses lead to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies. Some results of the particle swarm optimizer, implementing modifications derived from the analysis, suggest methods for altering the original algorithm in ways that eliminate problems and increase the ability of the particle swarm to find optima of some well-studied test functions.

8,287 citations

Book
01 Jan 1968
TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Abstract: Communication Systems and Information Theory. A Measure of Information. Coding for Discrete Sources. Discrete Memoryless Channels and Capacity. The Noisy-Channel Coding Theorem. Techniques for Coding and Decoding. Memoryless Channels with Discrete Time. Waveform Channels. Source Coding with a Fidelity Criterion. Index.

6,684 citations

Journal ArticleDOI
TL;DR: In this article, the authors introduce physics-informed neural networks, which are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations.

5,448 citations

Book
01 Jan 1988
TL;DR: Signal Detection in Discrete Time and Signal Estimation in Continuous Time: Elements of Hypothesis Testing and Elements of Parameter Estimation.
Abstract: Preface I. Introduction II. Elements of Hypothesis Testing III. Signal Detection in Discrete Time IV. Elements of Parameter Estimation V. Elements of Signal Estimation VI. Signal Detection in Continuous Time VII. Signal Estimation in Continuous Time References Index

4,096 citations

Book
01 Jan 1986
TL;DR: This paper presents a meta-modelling framework for representing Response Times as Random Variables and its applications to Identification of More than Two Signals and Processing Stages and Strategies.
Abstract: 1. Representing Response Times as Random Variables PART I: DETECTION PARADIGMS 2. Simple Reaction Times: Basic Data 3. Decomposition into Decision and Residual Latencies 4. Distributions of Simple Decision Latencies 5. Detection of Signals Presented at Irregular Times PART II: IDENTIFICATION PARADIGMS 6. Two-Choice Reaction Times: Basic Ideas and Data 7. Mixture Models 8. Stochastic Accumulation of Information in Discrete Time 9. Stochastic Accumulation of Information in Continuous Time 10. Absolute Identification of More than Two Signals PART III: MATCHING PARADIGMS 11. Memory, Scanning, Visual Search, and Same-Difference Designs 12. Processing Stages and Strategies

2,125 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023392
2022812
2021909
20201,055
2019998