Since the theoretical solution to this model does not exist in linearly elastic mechanics, the BEM is deployed to solve this model numerically.
Anytime-anywhere access in which the closest engineer can be alerted and deployed to solve any issues has the ability to reduce unscheduled downtime, says SCHAD, and therefore allows for shorter maintenance response times and thus reduces overall maintenance costs.
Hence, gradient descent algorithms with (mathcal {O}(L log (1/e))) complexity, where e is the required accuracy, can be deployed to solve Problem 2. Since Problem 2 may have multiple local minima, the quality of the gradient descent solution depends on the algorithm initialization.
A primary aim of the study is to derive less time-consuming algorithms that can be deployed to solve a range of complex well-path design challenges.
Numerical methods that were once thought to be intractable are now commonly deployed to solve problems as diverse as 3D modeling from 2D data (photo tourism [1]), object recognition (logo detection [2]), human biometrics (face recognition [3]), and video surveillance (automatic threat detection [4]).
With a new clamor to impeach and remove the Republican governor of South Carolina, Mark Sanford, the question arises of whether this peculiarly American form of executive decapitation is an essential constitutional safety valve or an anti-democratic shortcut that is too often deployed to solve short-term political troubles.
As digital tools become more efficient in solving daily productivity problems and more adaptive to learned situations, we'll progress to a stage where digital tools can be deployed to solve some of society's greatest challenges, including unemployment and/or employability.
Saunders and David Wallace have deployed structuralism to solve the problem of how macroscopic objects with more or less determinate properties can be recovered from the Everett interpretation of quantum states (the so-called preferred basis problem) (Saunders 1993b , 1995 and Wallace 2003).
A new objective functional is proposed to convert the original reconstruction task into an optimization problem, and the simulated annealing algorithm is deployed to effectively solve the proposed objective functional.
