Discrete-to-continuous conversion, interpolation, pulse shaping techniques, and data conversion in real-time digital signal processing are discussed in this content. Topics include types of pulse shapes, sampling, continuous signal approximation, interpolation methods, and data conversion processes

4 views • 14 slides

EVStore presents a novel approach to scaling embedding tables in deep recommendation systems, offering a three-layer caching system that optimizes storage and caching capabilities. By leveraging groupability-aware caching, mixed-precision caching, and embedding approximation, EVStore achieves lighte

3 views • 33 slides

This is an informal ballpark estimate or value approximation done quickly with minimal\nanalysis. Business sale brokers may provide these types of rough calculations when\nmarketing businesses for sale.

5 views • 5 slides

The Treaty of Lisbon serves as a legal foundation for the harmonisation of substantive criminal law within the European Union. It establishes the basis for judicial cooperation, mutual recognition of judgments, and approximation of laws across Member States. The treaty allows for the establishment o

1 views • 60 slides

Understanding dentition in mammals sheds light on their evolution, classification, age approximation, and dietary habits. The arrangement of teeth, tooth structure, development, and types of mammalian teeth are discussed, highlighting unique features like thecodont attachment, enamel coating, and de

2 views • 16 slides

Explore various minimization problems, from easy to insanely hard, and learn about finding global and local optima using approaches like bisection, Newton's method, and rationalization. Discover efficient methods such as the golden section and iterative approximation with Newton's method for optimiz

0 views • 17 slides

Approximation algorithms aim to find near-optimal solutions for optimization problems, with the performance ratio indicating how close the algorithm's solution is to the optimal solution. The terminology used in approximation algorithms includes P (optimization problem), C (approximation algorithm),

2 views • 10 slides

Multidimensional scaling (MDS) aims to represent similarity or dissimilarity measurements between objects as distances in a lower-dimensional space. Principal Coordinates Analysis (PCoA) and other unsupervised learning methods like PCA are used to preserve distances between observations in multivari

0 views • 21 slides

Delve into the fascinating world of the particle-on-a-ring approximation in chemistry, exploring concepts like quantum quantization of energy levels, De Broglie approach, Schrödinger equation, and its relevance to the electronic structure of molecules. Discover how confining particles to a ring lea

0 views • 23 slides

This research explores primal-dual algorithms for node-weighted network design in planar graphs, focusing on feedback vertex set problems, flavors and toppings of FVS, FVS in general graphs, and FVS in planar graphs. The study delves into NP-hard problems, approximation algorithms, and previous rela

0 views • 17 slides

Explore the world of Synthetic Aperture Radar (SAR) through various modes and implementations, covering topics such as SAR coordinate systems, pulse compression, range-Doppler algorithms, Born approximation, SAR scene simulation, and more. Dive into the distinctions between unfocused SAR and focused

0 views • 18 slides

Batch reinforcement learning decouples data collection and optimization, making it data-efficient and stable. It is contrasted with online reinforcement learning, highlighting the benefits of using a fixed set of experience to optimize policies. Applications of batch RL include medical treatment opt

2 views • 47 slides

This project focuses on multi-person 3D human pose estimation from monocular images using advanced techniques like HG-RCNN for 2D heatmaps estimation and a shallow 3D pose module for lifting keypoints to 3D space. The approach leverages weak-perspective projection assumptions for global pose approxi

0 views • 8 slides

Development of Learning Techniques in Automation Control Systems at the National Technical University of Athens focuses on system identification, parameter approximation, and achieving control goals using statistical methods and mathematical models. Techniques such as open loop form, closed loop for

0 views • 18 slides

This content explains the Transportation Problem in Operations Research, focusing on minimizing distribution costs while meeting supply and demand requirements. It covers the objective, methods including North West Corner, Least Cost, and Vogel Approximation, and provides an example scenario with ca

0 views • 21 slides

Explore cutting-edge research in nuclear physics, including experiments on pion ratios and Pb isotope radius measurements, neutron star observations, neutron density distributions of Pb isotopes, and polarized proton beams at Osaka University. Learn about the analysis of realistic point proton densi

0 views • 26 slides

Discover advanced techniques for quickly finding optimal bounding planes with specific orientations in computer graphics applications such as ray tracing, world-space optimization, view frustum culling, and shadow mapping. Learn how to improve efficiency and precision in bounding volume hierarchy co

0 views • 28 slides

The investigation into missing persons using forensic anthropology techniques, focusing on the analysis of bones like the humerus for height approximation and identification. Families await closure as the FBI looks into washed ashore bones, potentially bringing answers and resolving insurance claims

0 views • 13 slides

This content delves into the intricacies of temporal and spatial information models, covering concepts such as existence, presence, and spatiotemporal relationships. It explores how entities are identified, events are witnessed, and durations are defined within these models. The interplay between ti

3 views • 9 slides

Delve into discussions surrounding complex algorithmic challenges, such as the limitations in solving the 3-SAT problem within specific time bounds, the Exponential Time Hypothesis, proving lower bounds for algorithms in various scenarios, and exploring approximation ratios in algorithm design. Thes

1 views • 65 slides

Detailed analysis of the governing equations in a continuous stratified model with vertical mode decomposition and Sturm-Liouville problem. The density perturbation and pressure perturbation are examined to derive a reduced 3D system. The Boussinesq approximation and hydrostatic balance are applied,

0 views • 36 slides

Exploring time-independent perturbation theory, specifically focusing on non-degenerate and degenerate spectra. The lecture covers approximation schemes, treatment of multi-electron atom term values, and the effects of spin-orbit interaction. Concepts include evaluating expectation values, wavefunct

0 views • 13 slides

This discussion explores the effects of electron-phonon interactions on orbital fluctuations in iron-based superconductors. Topics covered include ab initio downfolding for electron-phonon coupled systems, evaluation methods such as Constrained Random Phase Approximation (cRPA), Constrained Density-

0 views • 12 slides

Explore the intriguing world of low threshold rank graphs and their structural properties, including spectral graph theory, Cheeger's inequality, and generalizations to higher eigenvalues. Learn about the concept of threshold rank, partitioning of graphs, diameter limits, and eigenvectors approximat

0 views • 22 slides

Exploring learning-based low-rank approximations and linear sketches in matrices, including techniques like dimensionality reduction, regression, and streaming algorithms. Discusses the use of random matrices, sparse matrices, and the concept of low-rank approximation through singular value decompos

0 views • 13 slides

Grigory Yaroslavtsev and collaborators present an improved approximation for the Directed Spanner Problem, exploring the concept of k-Spanner in directed graphs. The research delves into finding the sparsest k-spanner, preserving distances and discussing applications, including simulating synchroniz

0 views • 20 slides

Structural components subjected to multi-axial cyclic loading can be analyzed for low-cycle fatigue using notch approximation. By transforming elastic response into an elastoplastic state, the computation time is reduced, and fatigue evaluation is done based on the Smith-Watson-Topper model. Strain-

0 views • 4 slides

This paper proposes a method for dimensionality reduction based on functional approximation using Gaussian basis functions. Nonlinear Gauss weights are utilized to train a least squares support vector machine (LS-SVM) model, with further variable selection using forward-backward methodology. The met

0 views • 23 slides

Explore a detailed syllabus covering mathematical foundations, complexity calculations, asymptotic analysis, dynamic programming, traversal techniques, and more. Dive into key concepts like recursion, divide and conquer, greedy algorithms, backtracking, and approximation algorithms. Gain insights in

1 views • 11 slides

This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

0 views • 33 slides

Explore the cutting-edge approaches in contention resolution schemes through submodular function maximization, multilinear relaxation, and stochastic probing. Understand constraints and relaxations involved, with a focus on balanced CRSs and approximation algorithms for maximizing weight functions.

0 views • 37 slides

Push beyond traditional NLP models like logistic regression and PCFG with approximation-aware training. Explore factor graphs, BP algorithm, and fancier models to improve predictions. Learn how to tweak algorithms, tune parameters, and build custom models for machine learning in NLP.

0 views • 49 slides

ACCEPT is an Approximate C Compiler framework that allows programmers to designate which parts of the code can be approximated for energy and performance trade-offs. It automatically determines the best approximation parameters, identifies safe approximation areas, and can utilize FPGA for hardware

0 views • 15 slides

Regret-bounded vehicle routing problems aim to minimize client delays by considering client-centric views and bounded client regret measures. This involves measuring waiting times relative to shortest-path distances from the starting depot. Additive and multiplicative regret measures are used to add

0 views • 28 slides

This research explores regret-bounded vehicle routing problems (VRPs) where the focus is on minimizing client delays based on their distances from the starting depot. The study introduces a client-centric view to measure regret and devises algorithms for both additive and multiplicative regret-based

0 views • 23 slides

Mitigating memory and bandwidth walls, this research extends rollback-free value prediction to GPUs, achieving up to 2x improvement in energy and performance while maintaining 10% quality degradation. Utilizing microarchitecturally-triggered approximation to predict missed loads, this work focuses o

0 views • 7 slides

This research presents LP-Based Algorithms for the Capacitated Facility Location problem, aiming to choose facilities to open and assign clients to these facilities efficiently. It discusses solving the problem using metric costs, client and facility sets, capacities, and opening costs. The research

0 views • 36 slides

The content covers iterative root approximation using natural logarithm in solving equations. It explores finding roots by iterative formulas and demonstrates calculations to reach approximate values. The process involves selecting intervals to show correct values and ensuring continuity for accurat

0 views • 14 slides

This research discusses hierarchy-based algorithms for minimizing makespan in scheduling problems with precedence and communication constraints. Various approximation techniques, open questions in scheduling theory, and QPTAS for different settings are explored, including the possibility of beating

0 views • 25 slides

Theoretical approaches in NMR spectroscopy encompass diverse methods, each with varying degrees of approximation but yielding correct results within their validity. Techniques such as transition probabilities using the time-dependent perturbation theory, Zeeman interaction for energy level transitio

0 views • 32 slides