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This Google Doc Helps Determine How Much to Invest in Stocks
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This Google Doc Helps Determine How Much to Invest in Stocks

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxONXczeE5pS2lRNzRDdWlQVFZXSldtVHpfZC1yWExhVUY0dVVZUmJKMWUta1V6WlBUV0haU0RHYUdFU0hkenBIUW9qY3ZKcU9UaTI0Nm82Q2hId3hRUVloaEROOFREaDhsaFRBUmc3czN6UTZKSnludVFGYkRxY0hsV0ZwQ0poNURlWjFJUHNTZXZyT1ZuXzRZckhGSU1MUGNY?oc=5" target="_blank">This Google Doc Helps Determine How Much to Invest in Stocks</a>  <font color="#6f6f6f">Yale Insights</font>

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Search Results for "Optimal approximations fo"

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29 stories displayed
A novel Hankel norm approximation-based AGC for a hydro-dominated power system
Naturegeneral

A novel Hankel norm approximation-based AGC for a hydro-dominated power system

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE82MzJhdW9Ocl90M1c5YkYzU1czS0dBR2VPQWREd3l0YU1WNEJfb3V6ckxrcHZQUFdNSnhzd2I3SGJKdF9BNWFrTk5JY0I0ZjhUTldlbUppVXNtTE9FVXkw?oc=5" target="_blank">A novel Hankel norm approximation-based AGC for a hydro-dominated power system</a>  <font color="#6f6f6f">Nature</font>

Optimal linear sofic approximations of countable groups
Cambridge University Press & Assessmentworld

Optimal linear sofic approximations of countable groups

<a href="https://news.google.com/rss/articles/CBMi-AFBVV95cUxQTkxPQVUxWDlIR1I0ZFl3TkFkd3M0TURyYV96Sjl4YlZwXzFqZ2xOY280cjNndkxTNHBzZ2tueVBfZFA0OFg3MDh1RUNfeG0zMnRpWXVKLTFremhVZXBkSmtlanVRRmNmbXF3dFZsMGRWS2ZqWUdIMjdnY3hDU01QTUNYRU1qbjd1YkZOaFZSMkRvZ3ZkMVBWREcwRkNLUzJCd0tua0FsMHYxcTYzUGstZUY5MW0yYlBkcWNueGlTV29YYWY1RVZBOXlxWm9XYUNUdmlLU2VkNHhhWDBVUmFYMzNJSzR3dVBvcXo2bHB3Q05kRHJrVFVGWg?oc=5" target="_blank">Optimal linear sofic approximations of countable groups</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time
The Association for the Advancement of Artificial Intelligencegeneral

A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9ZaFVlaEZzNTIwQ05HdWluSDI0aVlRblRDMmNWenUzc2I5N0NwNlFkR29acXlBcWU2UVFLRkpRZmpseDdseUsxZ2hwSk5uM2NnZ0EtMmplczgxX0lFTWJwY0VRLU8?oc=5" target="_blank">A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network
Naturescience

Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01Vk1zXzJBMjJjWFktaV9FLWZYc044UVFDOURUMHliM2ZDR0ZMMVJLbnhrbWhIbW5ZMzRXZGs0WXFaeGRZR3NWN09zaUx6bGhYRGJFNS1zdVpISU53U3h3?oc=5" target="_blank">Optimal approximations for the free boundary problems of the space-time fractional Black-Scholes equations using a combined physics-informed neural network</a>  <font color="#6f6f6f">Nature</font>

Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events
AGU Publicationsgeneral

Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE51ZzItaGFQd2RIbEpOVlRTTWhpaUpwTWk1Mm9xbW91U3VzV1h4eHJ6MktTVkJnMlE0YjVoRmwtRGZnWWpEWVlfVUJMU3dqWFdDbUdrRzM4NVRRdi15WG5mbUJfYW9QcnVXRVlZTUNnRjNOQ1B5WVBzcA?oc=5" target="_blank">Gaussian Framework and Optimal Projection of Weather Fields for Prediction of Extreme Events</a>  <font color="#6f6f6f">AGU Publications</font>

Adaptive optimal control of entangled qubits
Science | AAASgeneral

Adaptive optimal control of entangled qubits

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4xcmhoYWlIM0dDUXVXelZma3lwYVZzYXZObThyanlkRWwyMnh6akJDMnF2bldXZWlkQUNHQWNud1BLMklIdmZ2T3NnSDBFWHJVb3BNVU5SUzlOQkY4dGtV?oc=5" target="_blank">Adaptive optimal control of entangled qubits</a>  <font color="#6f6f6f">Science | AAAS</font>

I Climbed Denali in 40 MPH Winds and Subzero Temps. Here’s What Kept Me Warm.
Outside Magazinegeneral

I Climbed Denali in 40 MPH Winds and Subzero Temps. Here’s What Kept Me Warm.

<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxOV3pqU3ZyU1E5YlVOWWhDRlJQaVNROHdBdzlWeFJiaU1paEFpdkhUOEVVcWxkSm9BSXFpZjZRMHdiajZ2X3E5XzcxQ0NNUVNmVlZCUGdFVUNqcE5DVm85WUxTTlhCdjh4cDlkTFl6RDg1OE5oRFpzbWJ3eEJFRFJfTlFIODRkTmpFNE5jYg?oc=5" target="_blank">I Climbed Denali in 40 MPH Winds and Subzero Temps. Here’s What Kept Me Warm.</a>  <font color="#6f6f6f">Outside Magazine</font>

A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives | Proceedings of the International Symposium on Combinatorial Search
The Association for the Advancement of Artificial Intelligencegeneral

A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives | Proceedings of the International Symposium on Combinatorial Search

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE84ZEZyR0xzSDBtOEU1UWN2eFhkZ0d2YTJteWxVMEJQVGh1ZE1kNFU3Q0VVVHBGcDNXVGhfYUM3XzZnOEQ5WG1NLS1zbWNyN1hMZ0F5OHVmQkNXTGFnUnZtMFVhS1I?oc=5" target="_blank">A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives | Proceedings of the International Symposium on Combinatorial Search</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Finite element approximations for stochastic control problems with unbounded state space
Cambridge University Press & Assessmentscience

Finite element approximations for stochastic control problems with unbounded state space

<a href="https://news.google.com/rss/articles/CBMipwJBVV95cUxNRW4zTm51NGNvOUpvVG5oLWJfS2JlakREZFhVVTRMS2pJdWRoY0Rpby1RSmVYQ0I5dEw2N2p6SDN4T3NGREgtXzZoSmFoeTRuaEd1ckVFczd2TXpzcU5Sa2FHdlA2UWVsWk5JZk1ZTWdFcnZaclBXaVNBeW93ZGRaQzVNXzE3ajlLR2xrNGhvWTltY055a3lLRFJjT01zSkNHU0VCLU8yMWNhMUQyZl9GcGtuczVpdXBmbXRQVHZ1ai1HcHZBbVlHMWxVVm5rRlhxS3gwdC1mcERRRWdURU56UnNleWdaVUh0UFh2SnI1Y0NpeTNyS1ZiQmlKTm5jaDNuY2JxbWYtaGNaWjBBU3l6WVFnWUlUNHZocXJmUzF0M2NUZTRUVll3?oc=5" target="_blank">Finite element approximations for stochastic control problems with unbounded state space</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Approximate Reachability for Feedback Linearizable Systems - Liu - Optimal Control Applications and Methods
Wiley Online Librarygeneral

Approximate Reachability for Feedback Linearizable Systems - Liu - Optimal Control Applications and Methods

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE8tVHRPTE95SEV6dnA4SWlsVnp2VzFqWTNoM1hYUGk1OHZHN3RMcDVFd3Q4MXF5UnJfTFN5eWhLZHdJOUg1eUV4QW1mUUMwOWZaU1BqRExWSTBFRFpWSC1lT25rcXdsNFRLY1E?oc=5" target="_blank">Approximate Reachability for Feedback Linearizable Systems - Liu - Optimal Control Applications and Methods</a>  <font color="#6f6f6f">Wiley Online Library</font>

Low-cost scalable discretization, prediction, and feature selection for complex systems
Science | AAASpolitics

Low-cost scalable discretization, prediction, and feature selection for complex systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9FNFdDQUpxVDFpN2JCNlEzb0hjZDR6WnNNU2Y5V254cUl5eGlfbGtFSnFIUjNOWUJKSkNtaGZmdkRlR0c0LWoyVlNFY0tWT1JFQjJvYlo0MGlTQU92RFM4?oc=5" target="_blank">Low-cost scalable discretization, prediction, and feature selection for complex systems</a>  <font color="#6f6f6f">Science | AAAS</font>

Probabilistic state synthesis based on optimal convex approximation | npj Quantum Information
Naturegeneral

Probabilistic state synthesis based on optimal convex approximation | npj Quantum Information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVWWZ4ZlZ0VTBzMEFRYnZhQmdJaXM3WVk2ODRyUFNPcVVjU3E4UmJCbWQzYWdCMFdFQ2lPVmlkUzdsVl8wZWJkYk5kblpLT0ViWDkxWUdJbHFzczFRSFlF?oc=5" target="_blank">Probabilistic state synthesis based on optimal convex approximation | npj Quantum Information</a>  <font color="#6f6f6f">Nature</font>

Randomized low‐rank approximation of parameter‐dependent matrices
Wiley Online Librarygeneral

Randomized low‐rank approximation of parameter‐dependent matrices

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFBVM3Z4dUsyWWlaQW9Mb2xlQmFQTDJXU3hvV1h3MGhtOWpIbzRIQlB0MkhEaGh5VmJFTERyZnRHQkMyNmNxYlFLVlMzUTJfTmF2VmV2RUFxZmdWVWdmTGVSaV9UcmhGZHNx?oc=5" target="_blank">Randomized low‐rank approximation of parameter‐dependent matrices</a>  <font color="#6f6f6f">Wiley Online Library</font>

Neural network approximation
Cambridge University Press & Assessmentgeneral

Neural network approximation

<a href="https://news.google.com/rss/articles/CBMiwAFBVV95cUxObXY2U1BDUDJEdTJoYlZaSmhRS2lGbFo4ZmM0QW5FNWNEOHljb0phUHlWOWZHQnRWcUlpWjZKLWpMa3RQNkdwUWZhSmRSSmJIQWhoWkdHdXVCd2ZYM1daaHZLMi1qTFRtdmsyYkRWREt4LUlXNnNTV2xPNk5zZ3NiclBXWXhHUkF2bGhtZXE5emIxa29aci1aNFc5OGhtcTB3anBYY045NUlXb0l6RHFyRFJGRWpZMng0QXlwTV9UN1E?oc=5" target="_blank">Neural network approximation</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory
Science | AAASgeneral

An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJTC1IeEhUdS1sUlhQTDh2MHdBTlZQWTU2eG5RcWdDaHhTc1RGT0F2WE1DRjZrT3pJUFlOcTlrLWJELXhPU0x4a2I1Sm11YS1GWDVpbGRxTU91a1puak9N?oc=5" target="_blank">An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory</a>  <font color="#6f6f6f">Science | AAAS</font>

Linearization method for MINLP energy optimization problems
Naturegeneral

Linearization method for MINLP energy optimization problems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAtX2NmN1ZBcDUzTFg5ZktpSGJrMlRWNDhUUnczaTVwSzBGeVRXTVJ0MnVSOUQ2RVJiTjFEYmdJSzF6ZlEtTTRrUndnNG91S0J2RTllS1BoT2Q3NDl1Z1ln?oc=5" target="_blank">Linearization method for MINLP energy optimization problems</a>  <font color="#6f6f6f">Nature</font>

Fast Shapley Value Approximation Through Machine Learning With Application in Routing Problems
Wiley Online Librarygeneral

Fast Shapley Value Approximation Through Machine Learning With Application in Routing Problems

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFB3emc5bHBqTHNWeUVWdmcyY2w5aHhGVU9kRnROMjViOUJXV0RhR2NFZzk0NUNRMzFSZmRSZUVvRmd2WXNzbVJKQWJNeUNnRENlVE5nOFRiVFlzWlpUUDJDU01NLXhLZlB6akE?oc=5" target="_blank">Fast Shapley Value Approximation Through Machine Learning With Application in Routing Problems</a>  <font color="#6f6f6f">Wiley Online Library</font>

A transferable recommender approach for selecting the best density functional approximations in chemical discovery
Natureworld

A transferable recommender approach for selecting the best density functional approximations in chemical discovery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3ZXVMUnIzWHhKeDk4R0Nhb1BzZFZQS01Sb1JzckZyaU5vNW5Ka24zSDhtOW1kNFE1aHB2VV9FcktMdldhRDRETVF5dnIxSG5xY2Q3UnRlM2pYQXdncGtR?oc=5" target="_blank">A transferable recommender approach for selecting the best density functional approximations in chemical discovery</a>  <font color="#6f6f6f">Nature</font>

Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis
Naturegeneral

Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YWDRDMTFYSkpvQy1JTXZpc0lGMlh6X1pUeXZMWnpmZkJGcHBmRWh0VkRDWlBMYnlrRDlFY2I5Zy1QN1RXVWVZTDRKN0Nva3pZSkczakdkbmNPSGZhd2dn?oc=5" target="_blank">Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis</a>  <font color="#6f6f6f">Nature</font>

Optimal operation of urban tidal drainage pumping station based on genetic algorithm coupled with head-water level successive approximation
Frontierstech

Optimal operation of urban tidal drainage pumping station based on genetic algorithm coupled with head-water level successive approximation

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxPazlVUnVsUFJ4T01UUVREdi1ELUtOQ0l0My1tZGJPU2pZek5TbFVRMFRhVDZ4Z3NJYTdaSFJ2OVc3U09rbWlLZUQydlNmWXZ4OHdkdzJ5TDJ4Q0dYcHgtWlhlR1lXaURMczVDdGFzZjNaZWJCdHJENW1FOUhXQ3FFMFltZVR4NkRXLXdOM0tLT2x2NVhkUUFxOA?oc=5" target="_blank">Optimal operation of urban tidal drainage pumping station based on genetic algorithm coupled with head-water level successive approximation</a>  <font color="#6f6f6f">Frontiers</font>

Quantum approximate multi-objective optimization
Naturegeneral

Quantum approximate multi-objective optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KRGV5SXIwU3c1R3RkY1VsbDZVM0NlZTRFcGRWYnlPcDV2dkxjQ2xnMEdENGNoZDJhZWZsek1rZUtOb3Zvb0RVZlYtRHhQNWNjZlI3ZDFXYThDbWd6bnlB?oc=5" target="_blank">Quantum approximate multi-objective optimization</a>  <font color="#6f6f6f">Nature</font>

Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation
Wiley Online Librarygeneral

Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE15cFlhRWVUd2JJdEN6UmhHUnZDMVJtc3FYN3k3cnBpNnd0dkh5ZHlQaE5ZNl81Z2xRUGpVZWhQel9qX0Jka1hmNHdsN3d6aWJxaHB4aUlXX0h2V1FwSHdibC11Sm91aHlP?oc=5" target="_blank">Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation</a>  <font color="#6f6f6f">Wiley Online Library</font>

Continued fractions and the Thomson problem
Naturegeneral

Continued fractions and the Thomson problem

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5IX050R0dqTDBacG9yRElzOU12WURIQ2l5M0xFUE41M0w1T09TVlJJWEFjNjFQdDJKd0dwSVFWdEtUY2JZQ2pnbm5UdmxwU3ctdy1wTzEzT2I4emFvNVE0?oc=5" target="_blank">Continued fractions and the Thomson problem</a>  <font color="#6f6f6f">Nature</font>

Monotone Abstractions in Ontology-Based Data Management
The Association for the Advancement of Artificial Intelligencegeneral

Monotone Abstractions in Ontology-Based Data Management

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE50Tm5tTS1rWE5jNDRkRkd5YmdSNVZOSVhMZElWNEducGRxVE9Qejd1YWhKeldsX3JpS1AwNExRZk11Q0dkbUdHekc4Ymw5S0kxWEJJVU5RRXYwZFIzNTBQM0RyMW0?oc=5" target="_blank">Monotone Abstractions in Ontology-Based Data Management</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Linear quadratic approximation of rationally inattentive control problems
Cambridge University Press & Assessmentgeneral

Linear quadratic approximation of rationally inattentive control problems

<a href="https://news.google.com/rss/articles/CBMiiAJBVV95cUxNZEhfajFFbkswbkxtVDRBSmR3MmpTem9OemN6VUdhZWt3MTM1OGpleHd5VUFHVmRpQVVvOGhNcUZQcmJ2dWN5RUYzbUFyQ254UW4xVi1JM1VFQ1lJQkVqMkhqRW1aZm5kV0FrMUI0VDJ6YXRrOXpXNEkyOHllTG1xc3J5UUFDbnotc1VFbm4xbl95dTR5aFRKVkVFVUZsajBFNEZRdFBRRWJCOVZESTVpMXpUdXNHbXM5QUVVVVNBa09SVTBueWdWMzcxaXhjWXp6SVZON21sbnROQVhoTmU4WDUybUJ0TmxSbnJnemdFRjNZRWdsSHN6TzVDb2szalFGQ3dqcXZLOXc?oc=5" target="_blank">Linear quadratic approximation of rationally inattentive control problems</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
The Association for the Advancement of Artificial Intelligencegeneral

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9vdWZyby0weDBLTnhOQmVIWU5acE5LRkxqeVAxNGZWRHF1ckpjSEdncklXa0NESllkT3NWbERod3pMSC1QbFdNdVNsajJwb3FQRTg4N1ltbnEyNVM4OG9yMWpVcV8?oc=5" target="_blank">Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Sparse optimal control of Timoshenko's beam using a locking‐free finite element approximation
Wiley Online Librarygeneral

Sparse optimal control of Timoshenko's beam using a locking‐free finite element approximation

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTFB4czNBRlFFUUc4eFl3VXJicUI4bGRTQ2RsanJONDZNb1drRVp6WkNHM0c2X0xnMi1WQjZPTEYzcXZ2WUpKZFlwZk5SNFN1WHl6NU1ibXVvQnE0QnR6NWJLbWN1ek5DNnVK?oc=5" target="_blank">Sparse optimal control of Timoshenko's beam using a locking‐free finite element approximation</a>  <font color="#6f6f6f">Wiley Online Library</font>

New Proof Settles How to Approximate Numbers Like Pi
Quanta Magazinegeneral

New Proof Settles How to Approximate Numbers Like Pi

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxOVHBHM2tRYm0wUlhLV04yLU4wdkxQWGl4UWN6UEl6VEVBcHJiZTF5Wm53RHdTYzJ2UnVoT3I2Q3BtZ3JfMFp6bkFKRWhmYkI1OUh3SjhQWTBWU05lNUN6NXB0Y3g3LUVLVUduQTNmeXhjM3RIWHlhU0VWOE1PUUQ1ZFUxZXNsVFhiMm14cTFrRVRiUU1YVkVvSQ?oc=5" target="_blank">New Proof Settles How to Approximate Numbers Like Pi</a>  <font color="#6f6f6f">Quanta Magazine</font>

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
alphaXivgeneral

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTFBYZlhhNER0VF9CcWswLWx4NDkxWU5COUZwWDF2aWE2NWdqdjRKWTVwWlZ5SEJ6X1R5SUhwTF9Tb2xfbHJRVlhOU1g5MEdoUlBC?oc=5" target="_blank">XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks</a>  <font color="#6f6f6f">alphaXiv</font>

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