45 Sentences With "minimizer" | Random Sentence Generator

A fee-minimizer/yield-optimizer could exist without AI, but it wouldn't work that well.

That's because Jean-Marie Le Pen, by contrast, is seen as a Holocaust minimizer if not outright denier.

To make it work, many fuller-busted women wear a minimizer bra or force the front placket flat with double-sided tape.

Scout leaders will grant the Movie Minimizer Badge to kids who successfully view a movie and choose to keep their movie summaries brief.

But the real pièce de résistance is its "hair growth minimizer" technology that actually helps visibly reduce the appearance (and thickness) of hair regrowth.

One could go there in search of one's first thong, and wind up bumping asses with the school guidance counselor, arms piled high with minimizer bras.

Her father, Oliver explains — the founder of the FN — was a famous Holocaust minimizer who called the gas chambers in Nazi concentration camps a "detail" of history.

Not long after, I started having to buy bras in bigger sizes every few months until my mother eventually insisted on getting me a minimizer bra to make my "floatation devices," as she called them, look smaller.

Yes, yes, it goes against Apple's ethos as a button minimizer—and as recent patent filings suggest, the company is actively heading in the opposite direction by experimenting with Force Touch enabled virtual keys for its laptops—but it would throw a pretty useful bone to the audience of pros that it's struggling to keep happy.

Unlike the two games preceding this one, gimmicks must be unlocked to be used in game. New gimmicks include the Sudden Arrow, the Minimizer and Normalizer, and Diagonal Arrows.

Ideally, the user should provide gradients of the nonlinear functions. (This is automatic in most of the modeling systems mentioned above.) If some or all of the gradients are not provided, MINOS will approximate the missing ones by finite differences, but this could be slow and less reliable. If the objective function is convex and the constraints are linear, the solution obtained will be a global minimizer. Otherwise, the solution obtained may be a local minimizer.

The incremental gradient method can be shown to provide a minimizer to the empirical risk.Bertsekas, D. P. (2011). Incremental gradient, subgradient, and proximal methods for convex optimization: a survey. Optimization for Machine Learning, 85.

Doctor Cortex appears as a playable character in Crash Team Racing and Crash Bash. The epilogue of Crash Team Racing states that Cortex went back to scientific research and discovered a new element in the periodic table, which he named "Cortexrulestheworldium", a name that stuck despite a number of lawsuits against it. In Crash Bandicoot: The Huge Adventure, Cortex tries to conquer the world by shrinking it to the size of a grapefruit with his new Planetary Minimizer. In the game's climax, he is fused with the game's three other bosses by the malfunctioning Planetary Minimizer, forming a creature known as Mega-Mix.

Micro Maniacs is set in a time where the Earth's resources are being depleted and the very planet is at risk. However a scientist named Dr. Minimizer has an idea: using a device he calls "The Minimizer Ray", he will shrink the planet's population to 1/360 of its original size, and so create a world more suitable to our current status. If this is to be successful, the doctor needs to create a supersoldier: somebody who can prepare the planet for us when we are eventually minimized. In order to do this, the doctor enlists the help of 12 volunteers for an experiment.

Physical soap films are more accurately modeled by the (M, 0, \Delta)-minimal sets of Frederick Almgren, but the lack of a compactness theorem makes it difficult to prove the existence of an area minimizer. In this context, a persistent open question has been the existence of a least-area soap film. Ernst Robert Reifenberg solved such a "universal Plateau's problem" for boundaries which are homeomorphic to single embedded spheres. In his book Almgren claimed to use varifolds to solve the problem for more than one sphere, as well as more general boundaries, but Allard's compactness theorem for integral varifolds produces a minimal surface, not necessarily an area minimizer.

Later, Simon Brendle proved convergence of the flow for all conformal classes and arbitrary initial metrics. The limiting constant-scalar-curvature metic is typically no longer a Yamabe minimizer in this context. While the compact case is settled, the flow on complete, non-compact manifolds is not completely understood, and remains a topic of current research.

The Espresso logic minimizer is a computer program using heuristic and specific algorithms for efficiently reducing the complexity of digital logic gate circuits. Espresso was developed at IBM by Robert K. Brayton. Richard L. Rudell later published the variant Espresso-MV in 1986 under the title "Multiple-Valued Logic Minimization for PLA Synthesis". Espresso has inspired many derivatives.

Branko Grünbaum writes that the Kovner–Besicovitch theorem was first published in Russian, in a 1935 textbook on the calculus of variations by Mikhail Lavrentyev and Lazar Lyusternik, where it was credited to Soviet mathematician and geophysicist . Additional proofs were given by Abram Samoilovitch Besicovitch and by István Fáry, who also proved that every minimizer of the Kovner–Besicovitch measure is a triangle.

The last sanctioned GATR race in the US was in July 1993 at Rolling Wheels NY. The Bandit Big Rig Series debuted in the United States in 2017, giving America its first truck race series since GATR in 1993. The Minimizer Bandit Big Rig Series had 13 races in his first (2017) season, with historic tracks Hickory Motor Speedway and Greenville-Pickens Speedway included on the schedule.

An iteration of the ellipsoid method In mathematical optimization, the ellipsoid method is an iterative method for minimizing convex functions. When specialized to solving feasible linear optimization problems with rational data, the ellipsoid method is an algorithm which finds an optimal solution in a finite number of steps. The ellipsoid method generates a sequence of ellipsoids whose volume uniformly decreases at every step, thus enclosing a minimizer of a convex function.

Using his new Minimizer, he shrinks everyone down to minuscule size. Bowser wants to find the four other Sky Crystals without Mario and his crew in the way and orders Kamek to fling them far away. Mario and his friends find themselves tiny in a very big world. The crew travels to Bowser's Castle, far away while defeating a Piranha Plant in Wiggler's garden, stopping a Hammer Bro.

In mathematics, the direct method in the calculus of variations is a general method for constructing a proof of the existence of a minimizer for a given functional,Dacorogna, pp. 1-43. introduced by Zaremba and David Hilbert around 1900. The method relies on methods of functional analysis and topology. As well as being used to prove the existence of a solution, direct methods may be used to compute the solution to desired accuracy.

The Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient method, reduced gradient algorithm and the convex combination algorithm, the method was originally proposed by Marguerite Frank and Philip Wolfe in 1956. In each iteration, the Frank–Wolfe algorithm considers a linear approximation of the objective function, and moves towards a minimizer of this linear function (taken over the same domain).

If f is a quadratic polynomial, a concept called roof duality can be used to obtain a lower bound for its minimum value.Boros and Hammer, 2002 Roof duality may also provide a partial assignment of the variables, indicating some of the values of a minimizer to the polynomial. Several different methods of obtaining lower bounds were developed only to later be shown to be equivalent to what is now called roof duality.

BALL's Transformation processors guide generation of valid 3D structures. Its selection mechanism enables to specify parts of a molecule by simple expressions (SMILES, SMARTS, element types). This selection can be used by all modeling classes like the processors or force fields. ;Molecular mechanics: Fast and stable implementations of the popular force fields CHARMM, Amber, and MMFF94 can be combined with BALL's minimizer and simulation classes (steepest descent, conjugate gradient, L-BFGS, and shifted L-VMM).

To save costly engineering effort, much of the effort of designing large logic machines has been automated. The computer programs are called "electronic design automation tools" or just "EDA." Simple truth table-style descriptions of logic are often optimized with EDA that automatically produces reduced systems of logic gates or smaller lookup tables that still produce the desired outputs. The most common example of this kind of software is the Espresso heuristic logic minimizer.

The 1-norm is not strictly convex, whereas strict convexity is needed to ensure uniqueness of the minimizer. Correspondingly, the median (in this sense of minimizing) is not in general unique, and in fact any point between the two central points of a discrete distribution minimizes average absolute deviation. The 0-"norm" is not convex (hence not a norm). Correspondingly, the mode is not unique – for example, in a uniform distribution any point is the mode.

Positive-definite kernels, through their equivalence with reproducing kernel Hilbert spaces, are particularly important in the field of statistical learning theory because of the celebrated representer theorem which states that every minimizer function in an RKHS can be written as a linear combination of the kernel function evaluated at the training points. This is a practically useful result as it effectively simplifies the empirical risk minimization problem from an infinite dimensional to a finite dimensional optimization problem.

Ab initio folding: Ab initio folding is done by Rosetta when no template was identified by the homology modelling and chemical shift threading steps. Rosetta models are evaluated by GAFolder scoring function and the best Rosetta models are refined by GAFolder (see below). Model optimization: Model optimization in CS23D is done by a torsion-angle-based minimizer GAfolder (Genetic Algorithm folder) that uses a genetic algorithm to sample conformation space. The method is similar to that employed by GENFOLD.

The earliest EDA tools were produced academically. One of the most famous was the "Berkeley VLSI Tools Tarball", a set of UNIX utilities used to design early VLSI systems. Still widely used are the Espresso heuristic logic minimizer, responsible for circuit complexity reductions and Magic, a computer-aided design platform. Another crucial development was the formation of MOSIS, a consortium of universities and fabricators that developed an inexpensive way to train student chip designers by producing real integrated circuits.

J. Sibert, J. Hampton, D. Fournier, and P. Bills. An advection-diffusion-reaction model for the estimation of fishmovement parameters from tagging data, with application to skipjack tuna (Katsuwonus pelamis). Canadian Journal of Fisheries and Aquatic Sciences, 56(6):925--938, 1999. typically included eight constituent code segments: # the objective function; # adjoint code to compute the partial derivatives of the objective function with respect to the parameters to be estimated; # dedicated memory to contain intermediate data for derivative computations, known as the "gradient stack", and the software to manage it; # a function minimizer; # an algorithm to check that the derivatives are correct with respect to finite difference approximations; # an algorithm to insert model parameters into a vector that can be manipulated by the function minimizer and the corresponding derivative code; # an algorithm to return the parameter values to the likelihood computation and the corresponding derivative code; and # an algorithm to compute the second partial derivatives of the objective unction with respect to the parameters to be estimated, the Hessian matrix.

A human designer can typically only work with Karnaugh maps containing up to four to six variables. The first step toward automation of logic minimization was the introduction of the Quine-McCluskey algorithm that could be implemented on a computer. This exact minimization technique presented the notion of prime implicants and minimum cost covers that would become the cornerstone of two-level minimization. Nowadays, the much more efficient Espresso heuristic logic minimizer has become the standard tool for this operation.

Since the gradients of V(\cdot, \cdot) in the incremental gradient descent iterations are also stochastic estimates of the gradient of I_n[w], this interpretation is also related to the stochastic gradient descent method, but applied to minimize the empirical risk as opposed to the expected risk. Since this interpretation concerns the empirical risk and not the expected risk, multiple passes through the data are readily allowed and actually lead to tighter bounds on the deviations I_n[w_t] - I_n[w^\ast_n], where w^\ast_n is the minimizer of I_n[w].

While looking for the food, DK bumps into Bowser and breaks the Minimizer in half, returning Mario and friends to their rightful size. However, Bowser reveals his new Megamorph Belt and challenges the superstar. After defeating Bowser, the crew takes back the stolen Sky Crystal and puts it with the others. The crystals combine into a new game (Triangle Twisters) and Bowser is meaner now because the crystals were part of a castle legend, but in a surprising move, Mario and crew invite Bowser and Bowser Jr. to play with them.

In optimal control theory, the Hamilton–Jacobi–Bellman (HJB) equation gives a necessary and sufficient condition for optimality of a control with respect to a loss function. It is, in general, a nonlinear partial differential equation in the value function, which means its solution the value function itself. Once this solution is known, it can be used to obtain the optimal control by taking the maximizer (or minimizer) of the Hamiltonian involved in the HJB equation. The equation is a result of the theory of dynamic programming which was pioneered in the 1950s by Richard Bellman and coworkers.

The mean (L2 center) and midrange (L∞ center) are unique (when they exist), while the median (L1 center) and mode (L0 center) are not in general unique. This can be understood in terms of convexity of the associated functions (coercive functions). The 2-norm and ∞-norm are strictly convex, and thus (by convex optimization) the minimizer is unique (if it exists), and exists for bounded distributions. Thus standard deviation about the mean is lower than standard deviation about any other point, and the maximum deviation about the midrange is lower than the maximum deviation about any other point.

Crash appears as a playable character in Team Racing and Bash. The epilogue of Team Racing states that Crash sold his life story, titled "The Color Orange", to a major film studio, set to be released by the Christmas season. In The Huge Adventure, Crash is recruited to gather Crystals to power a device built by Coco that will reverse the effects of Cortex's Planetary Minimizer, which has shrunken the Earth to the size of a grapefruit. In N-Tranced, Crash is awoken from his nap by the kidnapping of Coco and Crunch by Nefarious Tropy and N. Trance.

It is now known as a conditional GAN or cGAN. An idea similar to GANs was used to model animal behavior by Li, Gauci and Gross in 2013. Adversarial machine learning has other uses besides generative modeling and can be applied to models other than neural networks. In control theory, adversarial learning based on neural networks was used in 2006 to train robust controllers in a game theoretic sense, by alternating the iterations between a minimizer policy, the controller, and a maximizer policy, the disturbance . In 2017, a GAN was used for image enhancement focusing on realistic textures rather than pixel-accuracy, producing a higher image quality at high magnification.

Fournier formed Otter Research Ltd. in 1989, and by 1990 the AUTODIF Library included special classes for derivative computation and the requisite overloaded functions for all C++ operators and all functions in the standard C++ math library. The AUTODIF Library automatically computes the derivatives of the objective function with the same accuracy as the objective function itself and thereby frees the developer from the onerous task of writing and maintaining derivative code for statistical models. Equally important from the standpoint of model development, the AUTODIF Library includes a "gradient stack", a quasi-Newton function minimizer, a derivative checker, and container classes for vectors and matrices.

As a graduate student, Oded Schramm was supervised by Thurston at Princeton University. As recounts, there is a "poetic description" in Schramm's dissertation of how existence for circle packing can be deduced from the fixed point theorem: "One can just see the terrible monster swinging its arms in sheer rage, the tentacles causing a frightful hiss, as they rub against each other." There is also a proof using a discrete variant of Perron's method of constructing solutions to the Dirichlet problem., Yves Colin de Verdière proved the existence of the circle packing as a minimizer of a convex function on a certain configuration space.

389, 393. Hata is today recognized as the major scholar of the so-called "centrist" school of thought on the Nanking Massacre, which in terms of the death toll believes that tens of thousands were killed and thus stands between the "great massacre" school which believes that hundreds of thousands were killed, and the "illusion" school of Nanking Massacre deniers.Minoru Kitamura, The Politics of Nanjing: An Impartial Investigation (Lanham, Maryland: University Press of America, 2007), 6. By contrast, Takuji Kimura has criticized Hata as a "minimizer" of the atrocity, while still acknowledging that his book on the massacre was "an excellent study"Takuji Kimura, "Nanking: Denial and Atonement in Contemporary Japan", in The Nanking Atrocity, 1937–38: Complicating the Picture, ed.

In 1993, Fournier further abstracted the writing of statistical models by creating ADMB, a special "template" language to simplify model specification by creating the tools to transform models written using the templates into the AUTODIF Library applications. ADMB produces code to manage the exchange of model parameters between the model and the function minimizer, automatically computes the Hessian matrix and inverts it to provide an estimate the covariance of the estimated parameters. ADMB thus completes the liberation of the model developer from all of the tedious overhead of managing non-linear optimization, thereby freeing him or her to focus on the more interesting aspects of the statistical model. By the mid-1990s, ADMB had earned acceptance by researchers working on all aspects of resource management.

Given two sets A,B \subseteq S the event that h(A) = h(B) corresponds exactly to the event that the minimizer of over A \cup B lies inside A \cap B. As was chosen uniformly at random, Pr[h(A) = h(B)] = J(A,B)\, and (H,D)\, define an LSH scheme for the Jaccard index. Because the symmetric group on elements has size !, choosing a truly random permutation from the full symmetric group is infeasible for even moderately sized . Because of this fact, there has been significant work on finding a family of permutations that is "min-wise independent" — a permutation family for which each element of the domain has equal probability of being the minimum under a randomly chosen .

One of the earliest knot theory questions was posed in the following terms: > Can I tie a knot on a foot-long rope that is one inch thick? In our terms we are asking if there is a knot with ropelength 12. This question has been answered, and it was shown to be impossible: an argument using quadrisecants shows that the ropelength of any nontrivial knot has to be at least 15.66.. However, the search for the answer has spurred a lot of research on both theoretical and computational ground. It has been shown that for each link type there is a ropelength minimizer although it is only of class C 1, 1.. For the simplest nontrivial knot, the trefoil knot, computer simulations have shown that its minimum ropelength is at most 16.372.

Learning implies that the previous history, for example the memory about the previously found local minima, is mined to produce better and better starting points for local search. The implicit assumption is that of a clustered distribution of local minima: when minimizing a function, determining good local minima is easier when starting from a local minimum with a low value than when starting from a random point. The only caveat is to avoid confinement in a given attraction basin, so that the kick to transform a local minimizer into the starting point for the next run has to be appropriately strong, but not too strong to avoid reverting to memory-less random restarts. Iterated Local Search is based on building a sequence of locally optimal solutions by: # perturbing the current local minimum; # applying local search after starting from the modified solution.