We find that a variant of the King, Plosser, and Rebelo procedure yields the best approximations overall, but that in certain instances researchers may be better off using a discrete state space solution to the Euler equations of the model....
aIn this section, a method using linear time varying approximations will be outlined to design controllers for nonlinear systems. This technique reduces the nonlinear problem to a sequence of linear time varying approximations whose solution converges to the nonlinear systems response on a finite time ...
awhere n is allowed to go to infinity. This can actually yield very accurate approximations of e using relatively small values of n. 那里n允许去无限。 这可能使用相对地n.的小价值实际上产生非常e的准确略计。[translate] a我们是郎才女貌,天生一对 We are a perfect match, inborn one right[tran...
We note that although the network model is generally nonlinear, it can be well approximated by a linear model (r=x), as only a small fraction of neurons are silent at any given time (Figure S5; Discussion). Our formal analyses here rely on linear approximations, but all simulations are ...
shape of a single step response, assuming it has been measured for a sufficiently long time. The second method turns on analyzing the initial slopes of the responses to steps with varying amplitudes. The latter is ineffective in linear systems, owing to the principle of superposition of ...
When measuring the currents required to calculate the Nicholson parameter, the charging currents need to be neglected. In cyclic voltammetry, these are approximately constant for each linear sweep, but their direction changes depending on the direction of the sweep. It is this effect which leads to...
We can even factor out the deepness (multiple layers of alternating linear and nonlinear transformations) alltogether and have neural style transfer working to a certain extent. This raises the question how much of the the current success of deep learning in computer vision should be attributed to...
Where Do We Go From Here? So, that brings us to the million-dollar question: which path forward do we choose? Sparse attention? Low-rank approximations? Hierarchical methods? Or do we abandon self-attention altogether and venture into bold new architectures?
abut we need to fix it before Chinese New Year. 但我们需要在中国新年之前固定它。[translate] aThe rate law for each,with the steady-state and long-chain approximations,is 率法律为其中每一,以稳定和长链略计,是[translate] aL3 – Packing List No. L3 -装箱单没有。[translate] ...
aLinear approximations 线性略计 [translate] aShowdownl Showdownl [translate] a希望下次遇到美国人 The hope will next time run into the American [translate] aas secretary. 作为秘书。 [translate] a我们这里是夏天 Our here is the summer [translate] ayourself,try to have fun from anything that ...