Jeppesen, a Boeing Company’s Post

Boeing has been dealing with safety crises related to its 737 MAX planes. After a mid-air panel blowout in January, regulators capped production of the 737 MAX. However, even that reduced level is not being met. U.S. carriers are particularly affected because many of them rely on Boeing’s 737 MAX planes. As a result, they will receive 32% fewer aircraft than planned this year compared to a year ago. Delta Airlines, for instance, expects delays of up to three years for deliveries of Boeing’s new 737 Max 10 plane, which has not yet been certified by the FAA. In summary, airlines are navigating a delicate balance between high travel demand and limited aircraft availability. They are relying on older planes and negotiating new orders to cope with the situation. Let’s hope for smoother skies ahead! Read more in this article #Forbes

For World Pilots' Day, our first officer Leon Bader answers some of your most frequent questions about the pilot life. ✈️ Do you want to know more? Write your questions in the comments. 👇 Happy World Pilots' Day! 🧑✈️ #eurowings

Safety is the Top Priorty in Aviation Industry

Quality is a culture not a job, Quality first.

Last day of semester 2 of Flight Service Operations and Cabin Management! Going on to semester 3 in May. Times flying by! I’ve learned allot in this course! Aircraft Types: Boeing and Bombardier!

The future of air travel is constantly evolving.

It’s #FitzFriday! Check out the latest update at Airside Aviation from John Fitzsimmons!

With improving safety features and ever-more efficient aircraft overall, it’s sometimes hard to tell the two dominating aircraft manufacturers apart. So what do the pilots who operate them think? My team and I put together a video to highlight some of the major differences between Airbus and Boeing and how those impact the people who fly them. 👇 https://lnkd.in/dsppKj_6

Numerical differential equations often require extensive datasets for testing and validation. In the context of relational datasets, this typically involves organized data structures that can store and manage complex information efficiently. Below are some key points and examples of how relational datasets can be utilized for numerical differential equations: ### Key Concepts 1. **Numerical Differential Equations**: - These are equations involving derivatives of functions with respect to one or more variables, solved using numerical methods rather than analytical solutions. 2. **Relational Datasets**: - Organized collections of data in tables, where relationships between different tables are maintained through keys (primary keys and foreign keys). 3. **Applications**: - Solving ordinary differential equations (ODEs) and partial differential equations (PDEs) in scientific computing. - Simulating physical systems in engineering and physics. - Machine learning applications involving differential equations. ### Structure of Relational Datasets Relational datasets for numerical differential equations may include: 1. **Tables for Initial Conditions**: - Store initial values for variables in the differential equations. - Example: `initial_conditions (id, variable_name, initial_value)`. 2. **Tables for Parameters**: - Store parameter values that are used in the equations. - Example: `parameters (id, parameter_name, parameter_value)`. 3. **Tables for Results**: - Store computed results for different time steps or iterations. - Example: `results (id, time_step, variable_name, value)`. 4. **Tables for Metadata**: - Store information about the datasets, such as source, description, and timestamp. - Example: `metadata (id, description, source, timestamp)`. ### Example in SQL Here's a simplified example of how you might set up and use relational datasets for solving a numerical differential equation, such as the logistic growth model. #### Step 1: Define the Tables ```sql CREATE TABLE initial_conditions ( id INT PRIMARY KEY, variable_name VARCHAR(50), initial_value FLOAT ); CREATE TABLE parameters ( id INT PRIMARY KEY, parameter_name VARCHAR(50), parameter_value FLOAT ); CREATE TABLE results ( id INT PRIMARY KEY, time_step FLOAT, variable_name VARCHAR(50), value FLOAT ); CREATE TABLE metadata ( id INT PRIMARY KEY, description TEXT, source VARCHAR(100), timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP ); ``` #### Step 2: Insert Data ```sql INSERT INTO initial_conditions (id, variable_name, initial_value) VALUES (1, 'population', 100.0); INSERT INTO parameters (id, parameter_name, parameter_value) VALUES (1, 'growth_rate', 0.1); INSERT INTO parameters (id, parameter_name, parameter_value) VALUES (2, 'carrying_capacity', 1000.0); INSERT INTO metadata (id, description, source) VALUES (1, 'Logistic growth model', 'Generated for simulation'); ```

ICYMI: This Week in Launch: Take two for Boeing Starliner’s CFT mission