fmin | Unconstrained function minimization in Javascript | Machine Learning library
kandi X-RAY | fmin Summary
kandi X-RAY | fmin Summary
Unconstrained function minimization in javascript. This package implements some basic numerical optimization algorithms: Nelder-Mead, Gradient Descent, Wolf Line Search and Non-Linear Conjugate Gradient methods are all provided. Interactive visualizations with D3 explaining how these algorithms work are also included in this package. Descriptions of the algorithms as well as most of the visualizations are available on my blog post An Interactive Tutorial on Numerical Optimization.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Main Newton algorithm
- Creates the SVG graph .
- Create chart
- Plot chart for the animation .
- Animation progress of arrows
- Creates a slider .
- Analyzes the intersection of the polygon .
- Update the state of the state
- mutates a function
- Creates a new Belder one
fmin Key Features
fmin Examples and Code Snippets
Lines of Code : 19License : Permissive (MIT License)
Copyprivate int fmin(int[] dist, int n, double h) {
if (h + 1 <= n) {
return -1;
}
int max = fmax(dist) * 100;
int lo = 1;
int hi = max;
while (lo < hi) {
int mid = (lo + hi) / Community Discussions
Trending Discussions on fmin
QUESTION
I generated a dataset of 20 random points from a Normal Distribution, created the Maximum Likelihood Function corresponding to these 20 points, and then tried to optimize this function to find out the mean (mu) and the standard deviation (sigma).
First, I generated the random data:
...ANSWER
Answered 2022-Mar-25 at 07:45Both optim and steep_descent perform minimization (you want maximization). In GA your parameters are fixed (ex. lower = upper = 20). To adapt your code:
QUESTION
I am tasked to benchmark the time cost of almost every function in cmath for 64-bit integer and double. Here is my source code:
ANSWER
Answered 2022-Jan-30 at 05:37To find the bottleneck you have to identify first, where time is wasted (bad code/compile, memory access/throughput). Obviously you try to achieve that already. Keep in mind that profiling itself consume a lot of resources too. MSVC provides built in instruction profiling. This might help to quickly identify instruction related hot spots. You could measure a whole program, or just between 2 break points.
Not sure if whole program optimiation on the screenshot you shared is set to no for a specific reason.
Other performance measurement tools like xperf or various chip manufacturer tools (depending o used hardwarew) can help to measure other resources (memory incl. cache misses, etc).
There are a few compiler settings that can help to optimize for specific scenarios. Anyhow you have to figure out why performance is not optimal.
There are various compiler switches (@njuffa pointed out a few), to modify compiler behavior, like floating point strictness to fp:fast. Appearently you tried those already.
/arch allows auto vectorization using the specified instruction set for SSE/AVX(2)/AVX-512. This is CPU dependent, so check supported instruction set first e.g. using CPU-Z (http://www.cpuid.com). This could increase performance by auto parallelization/SIMDfying.
You might also want to favor general optimization for a specific CPU instruction set /favor:AMD64, /favor:INTEL64, /favor:ATOM, since that helps the compiler to consider chip specific instruction latency/throughput.
For all mentioned functions exist CPU instructions, so I guess it is implementation depending, as it appears to not be clear for the compiler, as long as the hardware is the same.
You could try another compiler such as LLVM (clang). See here how https://docs.microsoft.com/en-us/cpp/build/clang-support-msbuild?view=msvc-170 I experienced strenghts and weaknesses for various compilers. For example it seems to be not so easy, getting conditional moves out of MSVC when it is up create pipeline friendly code.
QUESTION
In the current version there exists torch.fmin Torch Documentation fimin
Unfortunately, my project relies on torch 1.7.1 and I can't upgrade. Is there another way to use min with NaNs in my tensor to emulate fmin. The NaNs are intended and are not a result of poor implementation. So I would like to keep them.
...ANSWER
Answered 2022-Jan-05 at 08:25It's ugly but this works:
QUESTION
def outlier(*args):
outlist=[]
def median(args1):
if(len(args1)%2==1):
return list(sorted(args1))[int((len(args1)/2)-0.5)]
else:
return (list(sorted(args1))[int(len(args1)/2)]+list(sorted(args1))[int(len(args1)/2)-1])/2
def fmax(args2):
sortargs=sorted(args2)
return sortargs[-1]
def fmin(args3):
sortargs=sorted(args3)
return sortargs[0]
q1=median(list(range(fmin(args),floor(median(args))+1)))
q3=median(list(range(floor(median(args)),fmax(args)+1)))
for i in args:
if(i<(q1-1.5*(q3-q1)) or i>(q3+1.5*(q3-q1)*(q3-q1))):
outlist.append(i)
return outlist
print(outlier(1,2,3,4,5,6,7,8,9,10,100000000))
ANSWER
Answered 2021-Nov-21 at 18:58If the list returns empty, the reason is that neither parts of your if condition is met and so nothing is appended to the list:
QUESTION
I would like to use mystic solver to solve the following nonlinear optimisation problem with nonlinear constraints. Here the code:
...ANSWER
Answered 2021-Nov-13 at 15:52I'm the mystic author. Penalty functions are essentially soft constraints, so they can be violated. When they are, they will add a penalty to the cost. If you want to restrict the input values explicitly, then you want a hard constraint... given with the constraints keyword. So, add the following to ensure that the candidate solutions are always chosen from the positive orthant (i.e. from within your chosen bounds).
QUESTION
I have a function an objective function which takes a numpy array of time series data which it uses to calculate an estimated return on investment over the time data. This function is shown below:
...ANSWER
Answered 2021-Oct-10 at 20:45As processed is a tuple, you may have to explode into N variables as below:
QUESTION
I have a function an objective function which takes a data frame of time series data which it uses to calculate an estimated return on investment over the time data. This function is shown below:
...ANSWER
Answered 2021-Oct-10 at 19:31Shouldn't the signature of bwp be:
QUESTION
In the document found at http://members.chello.at/easyfilter/bresenham.html it walks through the process of creating curves based arround the Bresenham's Algorithm, and it ends with an algorithm to create anti-aliased thick lines, but how can this be aplied to the Quadratic Bezier Curves (the Anti Aliased version found on the same site)?
I tried change the plotQuadBezierSegAA function's last line to use the algorithm of the thick line, but obviously it did not worked as it is computing the other pixels one by one. (I changed from plotLineAA(x0,y0, x2,y2); to plotLineWidth(x0, y0, x2, y2, wd);)
I also tried to draw more curves slightly shifted until it had the wanted thickness, but it creates problems with the anti aliasing colors. (A for loop that shifted by the x and y step (xx and yy variables) and recursively called the plotQuadBezierSegWidth).
None of this tries actualy worked, so could please someone help me acomplish the thickness in this curves. (The algorithm so far is the one from plotQuadBezierSegAA found on that site).
Code for the shifting:
...ANSWER
Answered 2021-Sep-29 at 07:49In the scratchpad (js file here: http://members.chello.at/easyfilter/bresenham.js lines 909 to 1049) it uses the plotQuadRationalBezierWidth with the w set as 1 to compute a normal Bezier curve with a specified amount of width for the thickness of the line (the wd parameter).
The ported c code from the file:
QUESTION
I have two simple arrays in Python and I would like to minimize the sumproduct of these arrays with respect to given target value by changing the values in the first array. Here is an example:
...ANSWER
Answered 2021-Sep-15 at 15:24You need to return the absolute value of the error in func2.
QUESTION
I have this code:
...ANSWER
Answered 2021-Sep-15 at 07:20You shouldn't reuse the LogLocator object for both x&y axis, assigning it will modify it's properties. The docstring already hints at this:
numticks : None or int, default: None The maximum number of ticks to allow on a given axis. The default of
Nonewill try to choose intelligently as long as this Locator has already been assigned to an axis using~.axis.Axis.get_tick_space, but otherwise falls back to 9.
So in this specific case, first assigning to y before x would make it "work". I assume that means the last assignment determines some of the properties.
But of course it's best to simply create a separate instance of the LogLocator object for each axis (both x/y & major/minor).
I'm not sure why the minor-x ticks won't show when leaving numticks=None.
So:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fmin
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
