Your Local Business Spotlight Here?  Contact Local Business Watch in the Webchat for more content exposure. 

Spotlight: Newsfeeds From Local Austin Businesses


Small Biz? Use Your Austin News!

How did you get here, at this moment, reading this?

Same way 1000s of other Austin residents did today.  See your news here! Learn More.

Sampaulesi Photography  in austin tx 

From their recent announcements... 

There are a lot of Photography companies here in the central Texas area, we do not see ourselves simply as an also-ran photography company. We know what the competition has been slinging out there. You need a professional photographer's eye and industry foresight to bring the vision of the end results that you have in mind, without hassle. We know we are only a part of the effort to grow your company, and have a handle on how our photography can impact your bottom line. Whether you need amazing photos to highlight and position the strengths of a newly listed real estate property on your content channels, or simply want vanity shots of your luxury or sports car, we have seen first hand the power of professional presentation. Whether it is car photography or staging shots for real estate etc. we aim for beautiful creatives that make one say "wow".

  Read The Whole Story Here  

A New Car Detailing Business...

The daily detail car detailing in austin tx 

Opened it's doors 10-13-2020.

Welcome the Daily Detail to the adventure of conducting commerce in Central Texas.  

"Details Delivered"

Level Up Your Ride With a Daily Detail Mobile Car Detailing Package Today!

Places To Be In The Spotlight!

Casa Cartel

Come see this labor of love and know what it means to truly experience Austin

Follow them on Instagram

Past Spotlights...

Carlson Brigance Doering Engineering

In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution maximizing a criterion among a number of candidate solutions. Local search algorithms move from solution to solution in the space of candidate solutions (the search space) by applying local changes, until a solution deemed optimal is found or a time bound is elapsed.

Local search algorithms are widely applied to numerous hard computational problems, including problems from computer science (particularly artificial intelligence), mathematics, operations research, engineering, and bioinformatics. Examples of local search algorithms are WalkSAT and the 2-opt algorithm for the Traveling Salesman Problem.

Most problems can be formulated in terms of search space and target in several different manners. For example, for the travelling salesman problem a solution can be a cycle and the criterion to maximize is a combination of the number of nodes and the length of the cycle. But a solution can also be a path, and being a cycle is part of the target.

A local search starts from a candidate solution and then iteratively moves to a neighbor solution. This is only possible if a neighborhood relation is defined on the search space. As an example, the neighborhood of a vertex cover is another vertex cover only differing by one node. For boolean satisfiability, the neighbors of a truth assignment are usually the truth assignments only differing from it by the evaluation of a variable. The same problem may have multiple different neighborhoods defined on it; local optimization with neighborhoods that involve changing up to k components of the solution is often referred to as k-opt.

Typically, every candidate solution has more than one neighbor solution; the choice of which one to move to is taken using only information about the solutions in the neighborhood of the current one, hence the name local search. When the choice of the neighbor solution is done by taking the one locally maximizing the criterion, the metaheuristic takes the name hill climbing. When no improving configurations are present in the neighborhood, local search is stuck at a locally optimal point. This local-optima problem can be cured by using restarts (repeated local search with different initial conditions), or more complex schemes based on iterations, like iterated local search, on memory, like reactive search optimization, on memory-less stochastic modifications, like simulated annealing.

Termination of local search be based on a time bound. Another common choice is to terminate when the best solution found by the algorithm has not been improved in a given number of steps. Local search is an anytime algorithm: it can return a valid solution even if it's interrupted at any time before it ends. Local search algorithms are typically approximation or incomplete algorithms, as the search may stop even if the best solution found by the algorithm is not optimal. This can happen even if termination is due to the impossibility of improving the solution, as the optimal solution can lie far from the neighborhood of the solutions crossed by the algorithms.

For specific problems it is possible to devise neighborhoods which are very large, possibly exponentially sized. If the best solution within the neighborhood can be found efficiently, such algorithms are referred to as very large-scale neighborhood search algorithms.

Local search is a sub-field of:

    Stochastic optimization

Fields within local search include:

    Simulated annealing (suited for either local or global search)
    Reactive search optimization (combining machine learning and local search heuristics)

Rainmaker Reputation

Johnson Fine Floors


B Turner Photography in austin tx 

From their recent announcements... 

"When quarantine started earlier this year, we were forced to rethink the way that we do business. We started to do a lot more small business photos and videos for small businesses in the Austin area. We also invested in equipment to do product photography and video from home so that we could continue to offer the same high quality photography and video that normally would be done on location. We are so grateful to be able to continue to work with businesses both small and large at this time when a digital presence is more important than ever. We love to help businesses reach customers and establish an online presence through high quality media for social media, websites and advertising."  Read The Whole Story Here  

What Are Small Business Owners Dealing With In California?

Glad To Be A Texan!! -Editor Note

Do you wonder what happens over there in Dallas?