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Results tagged with nonlinear-optimization 
                Search options                                 questions only
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                                 user 10035
    Nonlinear objectives, nonlinear constraints, non-convex objective, non-convex feasible region.
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    maximizing multivariate polynomial
                Consider $J = \sum_{i=0}^{N}y_{i-1}x_{i}y_{i+1}$ where $+$ and $-$ in the indices are mod $N+1$. Let $x_{i} = 1 - y_{i} \in \{0,1\}$. What are some of the tools useful and relaxation techniques availa … 
            
        
       
    
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    Entropy dominance of certain restricted sequenes
                Say you have positive $\{a_i\}_{i=1}^n$ and you have $p_i=\frac{a_i}{\sum_{i=1}^na_i}$, then assume you have a $C$ such that $C<2a_n\ll\sum_{i=1}^na_i$ (that is $C$ is not very large), then define $q_ … 
            
        
       
    
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    Limiting Entropy of deterministic sequences - 2
                Consider a collection of increasing positive integers $\{a_i\}_{i=1}^m$ and the distribution $p_i=\frac{a_i}{\sum_{i=1}^ma_i}$. Given $\{a_i\}_{i=1}^m$, let $\mathcal{P}_a$ be limiting distribution $m … 
            
        
       
    
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    Entropy difference dominance of sequences
                Consider a collection of positive integers $\{a_i\}_{i=1}^m$ and the distribution $p_i=\frac{a_i}{\sum_{i=1}^ma_i}$.
Similarly for the collection $\{a_i\}_{i=1}^{m+1}$ form the distribution $q_i=\fra … 
            
        
       
    
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    Entropy dominance
                Let $0<a<b<c$ be distinct positive reals.
Define four different probability distributions:
$$\mathcal{P}_{ab}:P_{a,ab}=\frac{a}{a+b}=1-P_{b,ab}$$
$$\mathcal{P}_{bc}:P_{b,bc}=\frac{b}{b+c}=1-P_{c,bc} … 
            
        
       
    
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    Limiting Entropy of deterministic sequences - 1
                Consider a collection of increasing positive integers $\{a_i\}_{i=1}^m$. 
Consider distribution $p_i=\frac{a_i}{\sum_{i=1}^ma_i}$. Given $\{a_i\}_{i=1}^m$, let $\mathcal{P}_{a,m}$ be distribution at  … 
            
        
       
    
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    Linear optimization with one positive definite quadratic equality condition in P?
                I have the following minimization problem in $z \in \mathbb R^n$, which contains $x_1, \dots, x_t, y \in \mathbb R$.
$$\begin{array}{ll} \text{minimize} & y\\ \text{subject to} & xQx'= y\\ & 0 \leq x … 
            
        
       
    
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    Sequence transformations that are entropy invariant
                Consider a collection of increasing positive integers $\{a_i\}_{i=1}^m$ and the distribution $p_i=\frac{a_i}{\sum_{i=1}^ma_i}$. Define entropy of $\mathcal{A}=\{a_i\}_{i=1}^m$ 
by $$H(\mathcal{A},m)=- … 
            
        
       
    
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    Fundamental regions in convex programming
                Fundamental regions of linear programming are polyhedra (since those are the objects of intersection of linear inequalities) and for semidefinite programming it is spectrahedra (https://math.berkeley. … 
            
        
       
    
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    Clarification on FPTAS optimization in a paper
                In the abstract of this paper by Hildebrand, Weismantel & Zemmer it is stated that they provide an FPTAS for $$\min x'Qx$$ over a fixed dimension polyhedron when $Q$ has at most one negative or one po … 
            
        
       
    
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    On an error bound for matrix constraints
                Given $A,B\in\mathbb R^{n\times n}$ such that there is an $U\in\mathbb R^{n\times n}$ with $UU'=I$ and $UAU'=B$.
Suppose each entry of $V$ is within $\pm\epsilon$ of each entry of $U$ is there a way … 
            
        
       
    
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    Are there scenarios under which feasibility bilinear programming is easy?
                Given $c\in\Bbb R^{n_1},d\in\Bbb R^{n_2}$, $E\in\Bbb R^{n_1\times n_2}$, $A\in\Bbb R^{m_1\times n_1}$, $B\in\Bbb R^{m_2\times n_2}$ $a\in\Bbb R^{m_1}$, $b\in\Bbb R^{m_2}$ and $t\in\Bbb R$ we know find … 
            
        
       
    
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    $0/1$ programming multiple quadratic constraints
                If we have an $n$-variable rank $n$-linear system it is clear we can find whether there exists a $0/1$ solution in polynomial time.
If we have an $n$-variable degree $2$ system how many constraints d … 
            
        
       
    
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    On an optimization question
                Suppose we have a square matrix $M=(1-z)A+zB$ where $A,B$ have integer entries from $\{0,1\}$ with $\det(A)+\det(B)=1$ and $\det(A),\det(B),per(A),per(B)\in\{0,1\}$ and we want to find $z\in[0,1]$ tha … 
            
        
       
    
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    Quasiconvexity property of quasinorms
                Schatten $p$ norm is convex when $p\geq1$ holds and if $p\in(0,1)$ it is quasinorm. 
If $p\in(0,1)$ then is Schatten $p$ norm quasi convex? I am interested in definition of quasi convexity here http … 
            
        
       
    
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    Matrix completion in $2\times2$ case by nuclear norm minimization to guarantee rank $1$?
                Does fixing diagonal entries and minimizing nuclear norm under weighted sum of entries conditions produce a rank $1$ matrix? I think the answer for this is no.
At least could it be true in $2\times2$ … 
            
        
       
    
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            214
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    Characterizing matrices with rank constraint
                Given matrix $M\in\Bbb\{0,1\}^{n\times n}$, is there a nice method to characterize  $$\mathscr{D}[M]=\{Q\in\Bbb\{0,1\}^{n\times n}:\mathsf{rank}(M-Q)= \mathsf{rank}(Q),\quad M-Q\in\Bbb\{0,1\}^{n\times … 
            
        
       
    
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    Nearest matrix orthogonally similar to a given matrix
                Given $A,B\in\Bbb R^{n\times n}$ is there technique find $$\min_{ T\in O(n,\Bbb R)}\|A-TBT^{-1}\|_F\mbox{ or }\min_{ T\in O(n,\Bbb R)}\|A-TBT^{-1}\|_2$$ within additive approximation error in $\epsilo …